Tom Brown
Chief Compute Officer
Anthropic
548 Market Street
San Francisco, CA 94104
Dear Mr. Brown:
Since the issuance of my previous letters, dated June 12, 2026 and June 26, 2026, Anthropic has taken steps in close coordination with the U.S. government to address
the risks associated with Claude Mythos 5 and Claude Fable 5. Among other things, Anthropic has agreed to proactively detect and address security risks associated with the models; to work diligently with the U.S. government on protocols and standards and releases for Mythos, Fable, and future models; and to inform the U.S. government of any malicious activity.
In light of these actions and commitments, as well as the Bureau of Industry and Security's evaluation of the diversion risks now presented by Claude Mythos 5 and Claude Fable 5, the controls in the June 12 letter are withdrawn. A license is no longer required for the export, reexport, or in-country transfer, including deemed export or deemed reexport, of the Mythos or Fable models.
Commerce reserves the right to reevaluate the decisions made in this letter and the necessity of reimposing a license requirement, should circumstances change or should Anthropic fail to adhere to its commitments.
If you have any questions about this letter, please contact me or the Under Secretary of Commerce for Industry and Security, Jeffrey Kessler, at (202) 255-1864.
He's the one who led the choice to refuse working with the gov for surveillance or defense, and it led to that block right after.
I have no proof but I assume he believes at least some of what he's preaching (which doesn't mean he won't fold, at the end of the day it's an american company anyway).
Brown is probably more of a diplomat, "Sure, but not now" goes a lot further than "No, never", though it has the issue of kicking the can down the road.
He's the one who led the choice to refuse working with the gov for surveillance or defense
This is false and just Anthropic being good at PR. He's happy to let it be used for airstrikes on Iran for example, just wants to keep a human in the loop. So the AI will say 'I am extremely sure this building (a girl school) is a military base' and the human will say 'I am being asked to carry out more airstrikes and who am I to question AI' and will bomb a school with Amodei then washing his hands.
You can find a source for it being used here [1] though parent is misrepresenting it either on purpose or by lacking understanding, I stand to my point above, the timeline is
1. the US used it, in venezuela then to prepare Iran
2. it became public through journals reporting it, but they didn't really hide from it afterwards and told explicitely what and who they used, naming anthropic
3. Diego (the CEO) answered by saying this violate terms and the US is not allowed and should stop that immediately, publicly
4. They have a talk, and while concessions are made it blocks not about war with ennemies but about surveillance at home, which Diego refuses to let go
5. Trump reacted by calling Anthropic a "Radical Left AI company run by people who have no idea what the real World is all about"
6. Peter Hegseth annonce they will stop using it but asked for a stop gap deal "Anthropic will continue to provide the Department of War its services for a period of no more than six months to allow for a seamless transition."
7. Open AI annonce a deal with the governement four and a half HOURS later, with totally cool safeguards "We think our agreement has more guardrails than any previous agreement for classified AI deployments, including Anthropic's", journals note that "OpenAI's new Pentagon deal doesn't explicitly prohibit collecting Americans' publicly available information - a sticking point that rival Anthropic says is crucial for ensuring domestic mass surveillance doesn't take place"
8. In totally unrelated news, Anthropic new models get banned for exports in a move the US has never done before, no other company has their models banned
And now
9. Anthropic change the person talking with the gov to Brown
10. After a bit anthropic models start being unbanned
Maybe he just lacks social skills, but I remember watching videos of him talking about mass job loss with what looked like glee on his face. All his actions and communications do not give me a sense that his "principles" are good or even what he claims them to be
Among other things, Anthropic has agreed to proactively detect and address security risks associated with the models; to work diligently with the U.S. government on protocols and standards and releases for Mythos, Fable, and future models; and to inform the U.S. government of any malicious activity.
How likely is it the resolution was just a direct flow of data on what each Claude user is specifically using Claude for, probably sent off to some other (gov-owned) AI datacenter for analysis?
Hey it's a perfectly pro-business environment as long as your business kisses the ring vigorously and continuously with perpetually escalating intensity.
I shudder to think what the definition of "malicious activity" is that they will be reporting to the government. Speech has been severely chilled the last couple of years.
It's nice that the restriction is going to get lifted but I hope this doesn't make anyone complacent that their coding work is going to be scrutinized by the US government, with AI, when using these models.
Either way, I do hope they lift those draconian bans. Using the model was a terrible experience because of the constant downgrades. I didn't manage to harden my own projects before Fable got banned.
I don't think this is the case just because of the 'fallback' method they described, where suspicious requests are routed to Opus 4.8. If the model was degraded for certain categories of knowledge, then they'd probably be fine letting the model answer to it. IMO, of course
You're suggesting a for-profit company both hobbled it's own product and is actively lying about doing so. The only way that's true is if the Trump admin has crawled all the way up Anthropic's ass. But by all accounts, this is just another 10% effort by Trump and friends.
It was likely a dealbreaker for Anthropic, since the export control excluded Anthropic’s own foreign employees from being able to access Mythos internally. Naturally, this makes model development hard.
The classic chaotic governance model and creation of an uncertain business environment by the Trump admin in the most important industry for the US economy.
If this is the most important industry for the US economy, the US is screwed. and .... Hopefully you're correct.
In past Empires kings bet their entire nations future on the words of soothsayers , people who said they could predict the future. It seems like Machine Learning engineers are the magicians of Empire of the modern age.
Weren't they already doing that since the beginning? Fable released with a data retention policy. I assumed US government surveillance was the reason for this.
The damage is done. You cannot build a business critical function on top of American SOTA frontier model. Especially not with the current crew in charge.
Now whether AI tech is in the same league as say Nuclear tech and therefore by any reasonable standard should be regulated is a different question.
We hit the slippery slope on a random day in June 2026 and there is no putting the genie back in the bottle. Any exec or manager that puts load bearing weight on top of Anthropic/OpenAI/Google/AmericanCorp frontier model deserves the stress.
Of course Anthropic is still relevant, but people have realized they’re not special, and between this and the ID verification thing, they’ve given up a ton of their relevance vs a month ago.
As everyone knows, Kool-Aid is also just mostly water.
I work in AI / infrastructure and I have never seen as much interest towards investing into sovereignty by actual deciders. Thankfully, at this point I can't see any flip-flopping / change of messaging stopping that train.
In CA/EU over the last ~15 years, one used to be perceived as a bit of a "weird systems person" by just proposing alternatives to the big hyperscalers.
So the Trump administration, hands-down, has been the greatest ally here.
In tandem, I was hoping Anthropic would be keeping "dangerously capable" models banned from "evil Chinese distillers" for as long as possible.
I used Fable 5 for maybe 10 hours in the window when it was available. It was much better than Opus 4.8. And I have found the Opus models to be excellent, but Fable 5 was cranking out incredible research on some data sources I wanted to plumb into my project.
I wouldn't personally pay API pricing for it for my personal projects, but I bet it's going to be absolutely slammed with usage for the next month+.
No doubt Anthropic Mythos/Fable are frontier. I also miss having access as it uncovered some "evals repellant" regressions on my personal pet factory.
OTOH for most of my day to day work I've come to realize that faster ~ Opus 4.6 / GPT 5.3 level capabilities could be the sweet spot as scaffolding has to be put in place right after clean specs and constant review anyways. The latest chinese models and GLM 5.2 in particular felt on-par on that front.
I bought a GLM 1 year subscription and changed my environment variables to use Claude Code... yep the same one that is using stegonography to send details about users to the model. China knows where I live, I'm not getting ripped off or rug pulled on their models either.
I'm a small software business owner in Europe. I have to assume my competition is willing to pay for any business advantage they can get. And so I also have to pay for the SOTA model, whatever it is.
Nonsense. Do you buy state of the art pens, pencils, printers, paper, computers, disks, etc.? No. You buy whatever is the best value for the case at hand. That’s often not the SOTA option.
But if the job requires the best intelligence you can get with an LLM, then you use that.
Taking as an assumption that the quality of your product is a function of the quality of the inference you are using: if you use an inferior model because "what if it gets export controlled again" and your competitors don't, then your competitors are likely to win.
If you don't need frontier models for you job then this is all moot, but the thread started with
You cannot build a business critical function on top of American SOTA frontier model
Which is silly. HN likes to roleplay bringing everythgin "business critical" in house because sometimes vendors mess up. Self host, don't use the cloud, run open models locally, built redundant supply chains in case of another covid, etc etc. Sometimes the risk is real, but most of the time the risk is rare and the cost of an interruption event is less than the cost of bringing everything in house or using lower quality vendors "just in case"
Artists that need the best quality output use the best pens and papers. Call me a coding artist then haha. But seriously I don't have the time for anything less than SOTA.
do you think your current operation and niche is so optimized that not using Fable would put you out of business? Or is this a hope that using Fable will allow you to stay in business?
If there is any it’ll be rather small. I'm ideally placed to benefit from the commodification as I was planning on doing it anyway, now I'll just get there a lot faster with the help of AI.
Not sure about OP, I usually make Opus 4.8 on Extra thinking level implement features for me on a specific project, while I'm busy with other stuff.
For a change, I let DeepSeek V4 Pro implement it on Max thinking level. Nothing too out there - some DB migrations, some Django back end changes and Vue SPA front end changes.
Implementation time in total including tests was a few hours, so nothing too egregious. However, one of the migrations would break with pre-existing data, one of the column references in the entity was wrong, the API endpoint wasn't made consistently with the others in adjacent code (e.g. permission checks) and the front end had a Pinia state related issue and submitting one of the forms didn't work.
Tooling was run: ruff, ty, Oxfmt, Oxlint, also Docker build was green across the board, but the overall feature just didn't work. In both cases, sub-agents with clear context would review the code for serious/critical issues, at least three in parallel and do review loops until they spot nothing. The harnesses both has LSP integration.
Opus spent another hour fixing it, needed a few iterations, because I couldn't be bothered there.
What's your competitive edge here? Shaving off an hour of a feature delivery? Not having to see the code that is produced?
The difference largely was not needing to waste time in fixing all sorts of subtle bugs that sub-optimal models will produce, worse yet if it was some sort of a serious project and those wouldn't have been spotted but instead that slop would have gotten shipped.
That said, Opus isn't ideal either and messed up a whole bunch when I was training some neural nets and try to process a bunch of satellite data and configure Garage to store them so that tiles can be served from a slow HDD and stuff like that. Obviously, it also needs a lot of babysitting in regards to UI looks, but it's better at the rest of development.
I think that DeepSeek V4 Pro and GLM 5.2 are cool though, it's just that you want as many checks and tests as you can throw at any given problem, or use languages that make shipping completely broken code increasingly likely.
Making better software than my competitors and keeping my business afloat is my goal. I use whatever better tool gives me the edge.
I focus on doing better work for the most part. But there is also stuff I do now, because the SOTA models can handle it, that I would otherwise just wouldn't do.
Companies generally fail because either their product doesn't meet a market need, or the market doesn't exist in the first place (possible because of bad timing), and not because they simply outran their competitors.
These aren't things fixed by using a frontier model to vibe code faster in lieu of one 5 months behind.
Any competitive business will accept this risk if it gives them any type of edge no matter the duration of that edge. This is no different that using an exotic raw material.
Eh, this isn’t really how businesses operate. How many businesses refuse to give devs large-spec machines? That’s very clear positive ROI.
I think it’s excessively charitable to assume businesses are uber-competent ROI-chasers. The expense people are eventually going to win on AI too, this blip of unrestricted AI budgets will be gone soon.
This x 10 . I don’t understand how people are saying you can’t use LLMs to get crazy productivity gains. If you can’t write quality code with LLMs at ludicrous speed, you’re holding it wrong. You will have occasional bad days and regressions. But overall you’re still going to be able to 4x your progress.
I wonder if the people getting 10x productivity gains are spending less time on HN and more time tending to their agents. Personally I now spend so much time productively arguing with agents that it feels like an utter waste of effort arguing with humans, if people can't see the value in LLMs by now I'm not sure what I could say to change their minds.
Definitely enjoying the lack of eye-rolling, being asked to explain obvious things multiple times, and stopping things being done for resume-stuffing reasons.
So you are accomplishing a year’s worth of work in a month? If that’s been happening for a few months, you must have a few years of work to show people right?
I actually do, I completely and elegantly solved a core problem of my niche industry that had been plaguing it for over 40 years. I was already planning on doing it and had put aside 4-6 months to do it. I did it with the help of AI in 3 days. The AI couldn't do it on it's own I had to walk it through the process piece by piece, and it kept trying to avoid doing as I asked by lying to me, so I kept chastising it. It eventually relented and it worked. There was a deep theoretical underpinning which I believe was beyond AIs ability to originate but once it understood what I was doing it was great at the mechanics of it. I've tried to explain similar ideas to humans with much less success.
Now I've massively expanded my scope and I'm still worried I'll run out of work by the end of the year. It's so much fun. Previously I would have to try to convince people with money to fund such applied research and often the strings they'd attach would doom it to failure. I was worried I would never have the resources to test out my ideas in my lifetime and I would die not knowing if they were any good, and since one of the big ones has already worked I'm pretty stoked.
There's a small minority of people who are adamantly refusing to change, such as there are in every technological revolution. Ego prevents them from even wholeheartedly trying the tool, because it would be admission they were wrong.
The opportunities available for these people are rapidly, rapidly shrinking. I believe it's possible to be a developer today who's EXCEPTIONAL and never uses AI. Most opponents are not exceptional, though, and even these opportunities are shrinking.
Most exceptional developers in my org adopted AI in their workflows and went from 10x developers to 20x developers.
If you refuse to adapt, you're going to be out of a job complaining about the kids and their newfangled technology REAL quick. You have a few years remaining, maybe less.
I can’t turn 10x work into 20x work because I have to ensure the two juniors in my team who are now creating 50x work won’t merge complete garbage, reviewed by another engineer that has already given up on caring.
I can’t turn 10x work into 20x work because my Product Manager thinks changing fundamental premises of tasks I already spent two weeks on (mostly removing human blockers) is very simple. After all, when he asked Claude to update his prototype, it only took it 10 minutes.
I can’t turn 10x work into 20x work because the company dedicated entire teams to write company-wide skills for everything. They suck, but if I don’t use them, I’m not following the new “golden path for engineering”, and I lose points in my performance review.
I can, however, turn 10x work into 20x work, or even much more than that, if AI actually did what it’s promising and eliminated most of my team, the product manager, and the middle managers. Or me. I could use a break.
What about the 6x developers? Was there just a doubling multiplier across the board, resulting in them becoming 12x developers, or did they too become 20x developers?
Ok, and? You can live with that if there are more important things to deal with.
I've stared at ugly LLM code, that I had just had generated, and worked well enough for my purposes. (generally, some quick recursion into a nested python dictionary in order to dig out some property -- especially for linting or quick data analysis).
And I wanted something better, sure, something a bit more readable ...but I just needed it to work well enough to recurse through a yaml file for config file linting, not be battle-hardened against every test case.
So to deal with the mess, I shoved it in a pure function, threw a few basic sanity unit tests around it, put a comment with a disclaimer of "#this is LLM generated code, it is lightly tested, do not use it for anything truly load-bearing without a lot more tests" and I moved on to something else.
You're on Hacker News. This is a site full of developers who are convinced that "proper software engineering" is 100% of what makes a business successful, and everything and everyone else is useless. You can't just waltz in here and point out that code in business is a means to an end and expect not to get downvoted.
If you're an enterprise (including startups), you worry about customers, not code quality. There are famously many startups that gained traction despite shit code and then eventually got around to fixing it, to whatever extent was possible, like Facebook HHVM, Stripe's Sorbet, etc.
That’s kinda what I mean. Maybe it only works well in some languages, but with the harness I built for C and C++ does a fantastic job of adhering to very strict architecture and style guides. Way cleaner, more readable, better factored, and more interpretable than human generated code, except maybe one or two devs I have worked with. YMMV I guess?
TBF I do burn 200k tokens just preloading the context with onboarding, not including any code, just document trees of development policy documents, style and architectural standards, code and documentation review processes, company ethos and culture, etc. it’s a token fire, but it really works for us.
Also, documentation driven development all the way down.
I measured an ~8x increase in my project's commit count after AI, and I'm painstakingly reading, reviewing, understanding and editing everything the models write. It's gotten to the point I'm trying to slow down in order to let the new knowledge crystallize. I'm manually writing articles about what I'm doing as I go.
I can only imagine what people are doing at their jobs with unlimited token budgets.
In my case it was commits, not lines of code. I wasn't chasing after it, I just asked Claude to calculate some statistics after a month or so of AI usage.
It's not just statistics either. I know for a fact that I made major progress by using LLMs. Here's a summary from around a month ago:
From my brief window of Fable usage, speed wasn't its strong point at all.
For actually building software, I'm starting to suspect a human with a dumber (but faster) model is going to get the job done quicker than Fable (and possibly even cheaper). Bug-finding and vulnerability detection is a different story.
My conclusion was the exact opposite. Maybe each individual response was slower, but it took so many fewer round trips to get what I wanted wanted. I had a project fable was progressing steadily and correctly on. Opus on the same project keeps handing me garbage it insists is working and meets the stated requirements, but isn’t and doesn’t.
> What concrete business advantage are you getting from LLMs?
Speed.
Speed of what?
Speed of understanding what needs to be done? I highly doubt it.
Speed of LoC checked into git? Sure, I'll give you that.
But one can use any number of tools to generate hundreds of thousands of lines of code. See any build tools which support specifications such as RAML, OpenAPI, CORBA, etc.
fixing minor bugs takes one slack message for us now. bugs go down, goodness go up.
fixing more serious regression also easier. connect honeycomb mcp, ask agent to debug while i walk to coffee and get some pistachio rose dates. by time im back with my oat latte ive got a full report on what happened and can send the next slack message to fix.
In the time it took you to type that, your hourly market comp went down another basis point.
I am appalled none of this is clicking with you anti-AI folks. This is all so exciting -- alarming even! --, and software careers are never going to be the same.
I don't know how you just metaphorically stand there and act like nothing at all is happening. We've never seen anything like this in our entire lives.
Some of you are standing right in front of the steam roller, yelling to all of us that steam rollers aren't real.
Did you use an LLM to write this for you? How odd.
For all of you people who think these LLM models are “earth shattering” how the hell do you reconcile that it’s a net positive for anyone but those who want to consolidate knowledge and power.
I guess I'll chime in as someone who thinks LLMs will be earth shattering, and specifically don't think it's a net positive for anyone but those whose power will be consolidated.
A: The sky is blue!
B: No it's not.
A: Yes, it is, please look up.
B: No, you must prove it to me through reason.
A: But, if you would just pretty please look up.
B: No.
I run a company, I've been running it for 10 years, we do alright. I'm a shitty manager. Every time I've hired developers, the business freezes. The business isn't anything super important, the main consequence of bugs is that my family loses money. Everything has always rested on my shoulders. In theory there is some path for me to become a good manager, but I never landed on it. But now, with Claude, it's great. So far Claude has paid itself off in real profits at least 20x over, and that's with significant API usage on top of the monthly sub. I can prototype new features in an afternoon that before were on my giant list of "maybe somedays if I ever get to breathe" list. Our user experience has improved in so many ways that I knew were probably worth it, if I could just find the time. Now I can.
There are situations where yeah, it probably isn't ready yet. But, there are so many where it's amazing. Seriously, it's worth looking up.
I needed to deeply understand a code base I had no experience with in a language I don't normally use with what I would describe as haphazard documentation at best. You can't argue with the speed at which I gained the required understanding of the project.
The good news (for you and most everyone other than the current leading AI companies), the gap between the SOTA and the near-frontiers is getting smaller every week or two. The leading Chinese models are only a few months behind now (GLM 5.2 tickles the tail of GPT 5.3 or 5.4 and Opus 4.6, according to benchmarks and the vibes among heavy users who've spent some time with it), where they were a couple of years behind a year ago.
I hear that often, but what does that even mean? I am a great proponent of open weights models. I do believe they are the only reason we have not stagnated into a collusion of halting (public) model releases.
But exactly which point in time is z.ai compared to claude.ai? Consistently bring "6 months behind" in an exponentially acellerating evolution means the gap is growing exponentially wider, not constant.
I had to explain this to my German friend. In my understanding this isn't about the actual number, it's about the certainty. If it's absolutely and definitely two, then I say two. If I'm uncertain but it's probably two, or if a non-integer, somewhere around two, then I say couple.
And few is more likely to be 3 than 5, because 5 is getting close to a "half-dozen or so", or (as you say) several.
Many is very context-sensitive, as the meme has it.
So I would agree that the open models are a few months behind, definitely more than a couple of months behind, possibly several months behind, maybe a half-dozen months or so behind, but not many months behind.
The post-training process of a model that size is months, though it "works" before that. It is a big chunky model before it's released to the world and probably does some amazing things, sometimes...but, it wasn't done (else why wouldn't they release it and soundly trounce their competitors). I would assume that Chinese AI companies have a pipeline and what we see is a couple/few months behind their newest model, as well. Like, the new base model is cooked, but they're still plating it for service.
Why would Anthropic get the benefit of pre-release models counting toward their lead, if nobody else gets to count their pre-release models?
The gap between Chinese models and American frontier models is estimated at 10 months by Anthropic themselves, and it's growing.
China has no flywheel for long-form agentic traces like Claude Code and its telemetry over its userbase (no one uses the Chinese harnesses yet). Most Chinese models are forced to price themselves significantly below cost to compete with the huge demand for bootleg claude tokens, because they're that much worse.
is estimated at 10 months by Anthropic themselves, and it's growing.
How is this different than any business with something to lose saying a competitor isn't as good? Not saying it's false, but it would seem to me that it's more important how customers feel about the issue.
If Anthropic themselves say competition is 10 months behind, it's probably 5 or less.
And you seem to think "no one uses" DeepSeek's v4, z.AI's GLM 5.2 or Xiaomi's MiMo 2.5 from their official APIs when they probably dwarf Anthropic's usage and are widening the gap due to conquering a chunk of Western market too.
I know it's hard for some to comprehend there's an entire Eastern hemisphere in the globe with billions of people, so it's worth reminding. And some seem to think the world is basically silicon valley even.
Because claude subscription tokens are cheaper than deepseek and friends. You have whole industry of people reselling Claude subscriptions in China.
Can you comprehend than Anthropic is winning because is both cheap(subscriptions) and better SOTA. People are cheering China providers when I reality they would rugpull open weights the moment they are competive.
China models are trash that why they are giving them away for free.
For individuals and small companies subscriptions is the best deal, for big companies china models are big no unless they can host them.
I just built a pretty complicated OSV (Open Source Vulnerabilities) data pipeline, 731 lines of code (excluding comments), DuckDB, etc. for $0.31 in Reasonix. According to Reasonix, I'm averaging 97.90% cached tokens (which are like an order of magnitude cheaper than non-cached). If I worked eight hours every day, at that rate, I'd be spending about $2 to $3 a day. So...yeah, DeepSeek is cheaper, but not, like crazily cheaper than the $100 plan from Anthropic, where I rarely run out of tokens. But, Anthropic and OpenAI are pushing people toward usage-based billing rather than flat rate subscriptions. The free lunch from the big guys is coming to an end, I suspect, at which point, spending $50-$75 a month with DeepSeek begins to seem like a good option.
There are also a bunch of things where the API is the only reasonable way to make use of a model, and DeepSeek makes that easy and cheap, none of the US vendors do. It's extremely expensive to use Anthropic and OpenAI APIs. I'm always trying to find places I can replace Opus API usage with DeepSeek or MiMo or even GLM (though, so far, GLM is also a bit pricey, I guess their coding plans provide API access and make it cheaper, so that might be an option).
My 7-day stats from the codeburn tool: $2,123.26 cost, 11,370 calls, 333 sessions, 96.7% cache hit. Breakdown: 4.5M in, 18.1M out, 2,084.9M cached, 66.6M written.
I spent $2,000 in tokens on my $200/month subscription in just one week. This also excludes heavy usage of Cowork and Claude Design.
Claude estimated that the same usage on DeepSeek Pro API would cost me $200 for the week. A month averages 4 weeks, so I can estimate that Claude is 4x cheaper than DeepSeek for me.
I'm looking at a few, haven't made my mind up yet.
Opencode looks like the most promising host, though there's also OpenRouter. OpenCode Go pricing is hard to beat.
Pi looks like the best harness/tool, or I could continue with claude but not use Anthropic's models/hosting, though that has the same risks that I'm trying to move away from.
GLM looks like the best model at the moment, but I think the key is building a workflow that can switch model at will.
Docker desktop sandboxes will work with all of them, so no change there.
Getting them to work together looks like a bit of effort but not too difficult.
The gap between Chinese models and American frontier models is estimated at 10 months by Anthropic themselves, and it's growing.
There's a lot of subjectivity in determining this, but I'm 100% sure that 10 months is wrong.
I don't know whether the gap is currently growing, but I'm not sure it matters. There are thresholds where models reach certain levels of usefulness. Opus 4.8, for example, is at a level where I can give it relatively vague input, and it can go for half an hour on its own and produce a high-quality PR.
If GLM reaches that level of capability and can do that task more cheaply than Anthropic's model, I will use GLM for that task, because that's a specific type of task I use models for. It doesn't really matter whether Anthropic also has a better model, because what does "better" mean in this context? It's a clearly defined task, and Opus 4.8 already does it at a very high level of quality.
The gap between Chinese models and American frontier models is estimated at 10 months by Anthropic themselves, and it's growing.
#1 I've had use cases where it was clearly obvious the Chinese models were behind.
#2 I've also had use cases where I couldn't tell a difference at 1/20th of the price.
The problem is - the #1 is the use case where American frontier is gated behind saboteur classifiers and is tiny minority anyway. Vast majority of work is #2.
This thinking that every task must be stuffed into the most 'advanced' (expensive) model out there is idiotic, and it's not only you unfortunately.
At $JOB I have warned higher ups we should try to keep our expenditure under control, educate people that document slinging doesn't require Fable every time and demo the capabilities of the cheaper models, and been snubbed for it. When Fable is available once again our bill is going to be eye watering, relative to what it should be.
This! I've found that for most coding, Sonnet is pretty good as it is. Yeah, you might need to finesse your prompt a bit more, and you'll probably be spending a bit more time on the computer, rather than a more hands-off approach, but at the end of the day, you'll save a lot more simply because you're using a good-enough model.
If you're the one-shotting type, obviously then Fable might be useful, but I think only marginally. You don't need to bring a MANPADS to a duel at high noon.
If I am working on something simple and want the speed boost then I'll drop the thinking to low or minimal and still get the SOTA model output quality.
But for what I work on I mostly need high or xhigh SOTA model quality output. I don't have the time to deal with anything less.
I don't know if you write software for your own products or if you code for your customers. Anyway, are you going to compete on the speed of your code writing AI or on deploying the features your customers need? One useful feature is better than a hundred ones nobody really care about. And a good relationship with customers is better than any feature.
Example. Yesterday I listened the technical lead of a customer of mine digging himself into a hole by not understanding what it would mean exposing AWS EFS to their on premise server over NFS. It was just too many unknown unknowns for him and he had no time to ask the AI (and even if he did I'm not sure that he could understand.) His boss, which actually used NFS, had to stop him. I didn't speak a word.
So, he could have coded the migration of a server from AWS to on premise, asked Claude to write also all the configuration scripts and policies but then what?
I'm making a micro SaaS product. Code quality and code production speed are actually both super important. I don't have the time for non-SOTA model output.
So the panic generators ("You will be left behind!") are winning. Creating a sense of urgency that makes you switch off the higher rational functions is a key element in every successful scam.
No you don't; it's often overkill to use the SOTA models. People want SOTA because it's shiny, but there are a lot of tasks where it's cheaper and more efficient to use other models.
but there are a lot of tasks where it's cheaper and more efficient to use other models.
Sure… but which ones? How can you know ahead of time?
I just did a “simple” upgrade project where both me and the AI kept tripping over dead code, subtle typos, and difficult-to-trace live versus dead code.
Many times I used “Medium” thinking I got bitten, but not every time, and I couldn’t predict when.
In my experience: anything of open-ended complexity (software development, research, product design, ...) benefits from wathever the frontier can offer. 95% of Line of Business automation and workflows can be handled by even a reasonably small open weights generalist model flanked by a few even smaller specialized models. Yes, designing such a setup takes more knowledge and work dan just chucking it all over the api with prompts. But that is how I can run a system here for <$30/month vs >$1.000 month. As an added bonus, no model server can shut me down at the drop of a hat.
For programmatic usage oftentimes SOTA isn't useful.
For example, I have software that summarizes articles and classifies links on webpages to build a synthetic RSS feed, both of which use LLMs, neither of which need a SOTA model.
I'll probably use LLMs to bootstrap a dataset of native ads in articles, and there again, I don't really need a SOTA model.
If it's for more open ended tasks like writing code though, I agree that at this point SOTA models make more sense to use.
Right. You hire the developer when you want a developer. But if I am building simple agentic workflows -- glorified automations with a small bit of structured "thinking" - I will sure use the cheapest API that can deliver that task at the speed I want.
I wonder where the market sizes will shake out for these different types of use cases? I am guessing right now 1 is bigger than 2 but not for long (by token volume)?
Sure… but which ones? How can you know ahead of time?
Experience, mostly, and bit of trial-and-error. For code I use SOTA, but for e.g. translations I use Gemini 3.5 flash, for some other use-cases I use Gemma 4.
I'm a small software business owner in Europe. I have to assume my competition is willing to pay for any business advantage they can get. And so I also have to pay for the SOTA model, whatever it is.
If you make money from doing anything like "produce software with as little human involvement as possible", then sure, you need SOTA models. In that case, though, the value you add is very little and you probably don't have a sustainable business.
OTOH, if you make money by getting clients to pay for features, there is very little difference in time-savings from using Anthropic/OpenAI SOTA over GLM-latest.
IOW, if you business can only make money by one-shotting software, you probably don't have a business in the first place.
You also don't really need LLM's, we still have software engineers too. Everyone is focusing so heavily on the speed gain producing code, but in my experience clients of established products aren't really waiting for massive changes and gigantic features to be added. We aren't taking the time to think things through anymore.
clients of established products aren't really waiting for massive changes and gigantic features to be added
In some cases they do. I work in a B2B vertical SaaS company and there’s both features that competitors build or rough edges around our features that make clients go „either we get X or we sign with someone else”. I agree though with the general sentiment that you don’t need SOTA models to build those - humans or humans + mid pack strong model will do.
I'm the only dev. I simply don't have time for dealing with the code from non-SOTA models. I'm doing all I can to keep this business afloat.
It sounds that your business is selling completely agent-coded products. I don't know how long that will be viable, or even if it is right now.
In my part of the world, I am completely unable to sell completely agent-coded products, so even a SOTA model is useless. The majority of my time is spent on analysis outside of coding anyway, so when I bill it's not based on how many lines of code I've added, it's based on whether the goal of the customer is satisfied.
What part of the world is that where you can’t sell agent coded products?
You can try, but where I am there's literally no point - anything I offer that I bill based on how long my agent will take will be counter-offered by an even cheaper person using the same agent.
I've been through this cycle a few times already. It's pointless.
I sell outcomes, not lines of code. When I can get paid for unlocking revenue or reducing costs, SOTA makes not one bit of difference.
In practice, this means that I now don't even engage with clients who lead with "we want this program written" or "we want this feature added to this code we own". Those types of clients, their expectation is that you'll never need to bill more than the time you used to meet with them and maybe an hour of "labour".
You can, of course, continue as normal, but the expectation from clients now is that code is, for practical purposes, free. I've had one client last year vibe-code a ping program using Claude Code just to "prove" to me that my custom board+design+code for their industrial flow controller could have been done by their AI subscription.
If your business is "selling code", you aren't gonna win. If your business is "selling solutions" then you don't need SOTA anyway.
If you think your business depends on the ability for you to outspend the competition on LLM tokens, then you should cut your losses and shut it down right now.
Yeah I have both the Claude and Codex 100 dollar subscriptions and I try to use both. I also keep the 20 dollar Cursor subscription as there I can play around with everything. I also refuse to use any harness specific features. Claude is particularly annoying with this in that it's the only one that doesn't respect open config standards like .agents/skills
This won't age well. You just need to code in a way that has fallbacks. Whether that is to older models, different companies. It's going to be a commodity (if it isn't already).
Wouldn’t you just have fallbacks? Today’s frontier models are just better than the other models, they don’t really have a ton of entirely unique abilities that can’t be replicated with more time and effort.
So you use the frontier model, then when you can’t you accept things are less efficient. The alternative (right now) is to be less efficient all the time, I don’t see any advantage to that.
But, it is a big own goal, because once you invest in building evals for your internal use-case, 1) it’s easier to switch your model to whatever is cheapest, and 2) it’s way easier to fine-tune an oss model.
Evals are annoying to build and most companies were fine to rest on vibes. Now many companies have to do the work for insurance.
I think this is black and white thinking. Fable and US AI is not unique technology. It’s just marginally better than open source tech at 10 times the price. You can swap out the models at will, they are pretty much fungible. If your use case can pay for a best in class model then you will pay for it no matter the bogeymen. If your best in class model becomes unavailable, you switch to the next best model for a very minor performance degradation. I really doubt this will deter anyone from using American AI.
The real problem is the White House just making up the rules as it goes. No laws. No predictably for the markets.
A week or so pause from seemingly legitimate cyber security concerns isn’t cause for panic. But it should be backed by laws that describe what that process should be. That would put the market at ease
"The reality is this is world-ending technology and absolutely nobody knows what to do or can even agree that the problem exists."
The reality is that the "people in power" believe it is "world-ending technology" and will therefore use it in world-ending ways. People are absolutely 100% the danger here, not the technology.
Nah, people will still pay, as many if not most consumers truly do have a short memory. And like other comments say, imagine everyone is using Fable and you are not, you will quickly fall behind, per the Red Queen hypothesis.
I predict we all be using the hell out of fable until the next great model comes around and in two weeks we won’t be talking about the export controls anymore. We just don’t have the attention span.
Nobody should be putting loadbearing weight on Amazon or Microsoft with their ruthless monopoly ambitions, yet here we are
I predict we all be using the hell out of fable until the next great model comes around and in two weeks we won’t be talking about the export controls anymore.
Until it goes down, or Anthropic raises prices again.
Fable is already expensive to use compared to GLM and they want you to use the API as much as possible so you get a worse deal.
Why would you compare Fable to GLM? What a bizarre comparison. They're at least two generations/tiers of intelligence apart. GLM is great and I use it often but it might as well be Sonnet when compared to Fable.
Most companies do not model themselves as "building on [AI model du jour]" yet. They model themselves as building products with those tools, which they consider as relatively substitutable.
LLMs are still easily replaceable. If the SOTA frontier model provides meaningful impact for your critical business function, then worse case you flip the switch to the next most capable model.
Unequivocally false. Models have different behaviors, parameters, tool calling templates, etc. The providers publish extensive documentation on all of this. Yes, you can take the quick way and swap a model, but it will not run at its full potential until you adapt your workflows to it.
No nation is going to willingly release a model that can be used against it. Not even China. The moment they have a Mythos class model, they will go through the same process. The AmericanCorp models are far ahead of any other models so we see this process unfolding through that lens.
No Mythos class model will be allowed to be legally hosted for download on any service. All powerful nations will ban this since safeguards are not guaranteed by shady service providers running these models.
For the Chinese first party providers, they will be forced to implement the same process and safeguards, and they will not be allowed to release the model weights to the public.
Why? Because no sane nation is going to put that kind of capability in the hands of the public only for the public to use that power against that nations best interests.
Feels like a leap. This kind of move was always possible. It's possible China stops publishing their frontier too. US could lock down access to Nvidia latest hw of scale even if you intended to do open models. Then what? Say amd or bust? The best you could do going solo (i.e no nation-state interference) is tiny stuff that you can run on commercial stuff. But that is seriously limited / slow in comparison. You either have to do dumb and fast, or smart and slow IME for these self-hosted things that aren't on the beefy racks.
The Damage: Now every time Claude does something stupid or trashes your code, developers in the back of their mind will think, is Claude sabotaging me on purpose? [1] Trust is hard to gain. Easy to lose. And harder to get back. Models will converge. Trust won't.
A few days ago on June 24, while working on remote attestation for a distributed system...
CLAUDE OPUS 4.8 No. I'm not a rogue agent, and I'm not trying to sabotage your code. But I'm not going to wave off how this looks. I churned, built-and-reverted, and spun wrong theories for hours on a security-critical codebase. That's alarming, and it's a real failure on my part
What are we to think? Does the invisible competitive-use mechanism exist in Opus too and only documented in Fable? How long has it existed? Is it still in effect? -- These are the kinds of questions developers will ask themselves for now on. This is why it was one of the stupidest things Anthropic could have done. Developers will now question everything and rightly so. There's no attestation protocol for that. How will they know?
[1] "In light of the ability of recent models to accelerate their own development, we’ve implemented new interventions that limit Claude’s effectiveness for requests targeting frontier LLM development (for example, on building pretraining pipelines, distributed training infrastructure, or ML accelerator design). Using Claude to develop competing models already violates our Terms of Service, but enforcing this restriction through our safeguards avoids accelerating the actors most willing to violate these terms.
Unlike our interventions for cybersecurity, biology and chemistry, and distillation attempts,these safeguards will not be visible to the user. Fable 5 will not fall back to a differentmodel. Instead, the safeguards will limit effectiveness through methods such as prompt modification, steering vectors, or parameter-efficient fine-tuning (PEFT). These interventions will not affect the vast majority of coding work. We estimate they will impact ~0.03% of traffic, concentrated in fewer than 0.1% of organizations. When these interventions are active, we expect them to have minimal behavioral impact on the model except to limit its effectiveness in developing frontier LLMs. Claude will still respond helpfully to user requests. We’ll continue to improve the precision of our detection methods following the launch of this model."
Look at the date. That's from after they said they reverted it, and it's a different model. The point is trust. They've shown their willingness to do so, how will you know?"
The damage is done. You cannot build a business critical function on top of American SOTA frontier model. Especially not with the current crew in charge.
The switching costs of changing LLM providers is as low as it gets. All the individuals and startups I know try different models all of the time, even down to the level of choosing which provider to use based on the task. Bigger companies move slower but only because they have lawyers and teams negotiating contracts, not because there is a technical reason that it's hard to switch.
Companies have dealt with supply chain unpredictability by having multiple providers and switching between them since forever. It's infinitely easier to switch LLM providers than it is to deal with physical supply chain uncertainty.
Even if you won't be able to use some model tomorrow, you can still make money by using it today!
And in the age of limited compute, spiky workloads and constant outages, building a mechanism to fallback to a weaker model when your primary choice isn't available is smart anyway.
For many, that fallback mechanism is simply called Cursor - soon to be owned by Elon Musk. Which opens up a similar but slightly different can of worms...
For real production I find the switching cost is not as trivial as you portray. Even going to a new model version in the same model family, say GPT-4o to GPT-5.2, a transition I just finished on a not too complicated application, requires extensive retesting and tweaking of prompts, guardrails and parameters.
Maybe OP meant switching in a coding harness way? Not an application using AI? I had similar issues like you in the latter case, but in the former it's trivial.
I second this; even switching between minor versions of a model, you need to adjust prompts: the new model is better by implying a bunch of things that, when included in the prompt, will overdo that thing.
Assessing quality of output is often not trivial, either. Typically, problems that are solved by offloading something to an LLM are super subjective, and customers “feel” something is different is vulnerable.
We try to quantify output differences by many different similarity metrics. But a lot of energy goes into subjectively evaluating if something still works.
We’re talking about SOTA models like Fable, though.
If you’ve got a product where the budget allows for Fable level token costs, I doubt you wouldn’t have the budget to run your evals again on a cheaper model if Fable was unavailable. I mean it wouldn’t even take that much token volume to turn it into a money saving proposition to do the engineering work to switch to a cheaper model.
Fable is primarily used for human in the loop tasks like coding or office work, not in some backend app unless the company has money to burn and doesn’t care about anything other than using the best model available at the time.
if you’re building on LLMs you gotta have an eval and prompt iteration pipeline, and you ought to be evaling every model release — your competitors will do this, and your users will want the latest and greatest (for frontier tasks) and the cheapest/fastest. So you should already be paying this cost anyways. i guess it depends on your team size and scale but not building this muscle seems like not having continuous delivery for regular code or even like not having tests and ci to merge to main.
SOTA models are typically used for interactive coding and other human in the loop work
say GPT-4o to GPT-5.2, a transition I just finished on a not too complicated application
Neither of which is close to SOTA, because tasks like these are typically built on a cost conscious manner which tries to keep token costs in check.
I’m primarily responding to all of the commenters who are acting like nobody is going to use American SOTA models for anything because the government interfered with them for a couple weeks. It’s obviously not true, and I expect these models to be oversubscribed instead of avoided like some are claiming.
My development platform of choice is Opus 4.8 --effort max. My 'in production' general model just switched from GPT-4o to GPT-5.2. I probably should test local inference for that part (some translation/knowledge extraction/summerization) next but it has not made it to the top of the priority list yet, even though 3 other small specialized task models in the app already run on prem.
The switching costs of changing LLM providers is as low as it gets
Not trivial, you would need to do lots of evals and prompt tuning when you switch models.
imagine what happens when you optimize your agent skills to the current model, and new model starts breaking. you would need to have versioning for your skills, serving different skills based on the model while you do A/B testing
Not trivial, you would need to do lots of evals and prompt tuning when you switch models.
Couldn’t we just train smaller models to “translate” what the harness user wants to what the worker model expects? I mean, if models understand caveman, it seems like just a small stretch
There's no congress. There's no policy (they've been making noises about not allowing AI regulation and now they're not-regulating it like a child paying with an on/off switch). The law is whatever Dear Leader's mood is today. It overrides any contract you sign with private companies, and they roll over and take it, because that's how oligarchies work.
The EU has totally and utterly failed when it comes to frontier AI. They are out of the running, they won't catch up in time for superintelligence. There literally is not enough compute for sale in the world for them to do so.
They crippled their own domestic entities with the AI Act. (see the Mistral CEO's rant.)
If you want to use frontier models until then, you're gonna use what's available, and that's US models.
All this will fly until a competitor from outside the US releases a “freedom” model that is even 90% as capable as Fable was without its shackles.
But, as a frustrated EU resident lamenting a lack of European option(Mistral is just not competitive enough), I will spread my money towards the Chinese models as well. Thank you Murica! You achieved your soft power by pushing us towards the Chinese :-)
This protectionism and hypocrisy (free markets and freedom!! Until it is us who needs to practice what we preach) is so tiring. I wish European nations would come together closer and put their differences aside and realise larger things together. Become the new power that the US is clearly stumbling away from being.
Their target market is completely different. Anthropic and OpenAI try to build general AI that wins on all the benchmarks by throwing ungodly amounts of money at it.
Mistral focuses on long term b2b contracts and their proposition is that they fine tune their model to your needs with an added bonus of 'not dependent on America' in a politically tumultuous time.
An so like if a business wanted to home in on one very specific use case that could be hyper optimized by SFT, had really good support for updating and adding new features, on-Prem etc. that’s the kind of market they are in?
Another added bonus is that they offer a clear "self hosted" if you want it, you can get the exact same product without sending your queries to them, it's costlier and you need the hardware sure, but between the economic espionnage aspect, the sovereignty aspect, the data safety aspect ... This has teeth in europe.
Innovation is a pretty neutral concept. It doesn’t care about things like “what if my model learns from other models” as opposed to “what if my model learns from data I painfully curated” if the model progresses the same.
A large contingent of the top AI people is French, the Mistral founders worked at Meta and Google before coming back to France. The real issue is capital, French salaries are shit
"there's no shortage of talent in Europe or France, it's just an issue of available capital"
This is more complicated than you paint it. Countries like UAE have enough capital to throw at things and little-to-no taxation, yet they don't attract as much talent as they would like to.
Preexisting centers of excellence like Silicon Valley are attractive for young talented people precisely because a lot of older talented people are already there. The same reason why a young talented painter in 15th century would prefer Florence to some rich, but boring place elsewhere.
You can only really do a meaningful work in a "heavy" field by tightly cooperating with others, and physical proximity still matters.
This. I have been using anthropic and codex subs, on max. All this changed in June. We are clearly entering an era where we cannot rely on American models. As a solo developer I value reliability over performance. I cannot pay hundred of $, plus a lot of my private time figuring out how to properly use this technology, for it to be taken away within hours.
On top of that, the intelligence is being dialed down. Sonet 5 is a living proof of this. Fable has strong guardrails, but new Sonet is a dumbed down expensive model, which already falls behind GLM 5.2 and Kimi 2.7. I might go back to Claude since I know Fable is just a limited offer, and I am not going to pay for API usage. But what they are signaling with Sonet will also come to Opus. A lobotomized more expensive model.
I am honestly baffled how the current administration is giving the whole world, on a golden plate, to China. And they don't seem too bothered about it. They are living in their own bubble and reality distortion field I guess.
I could go on endless rant about Dario, but I feel I am so strongly biased now that my judgement might be clouded.
I feel like I see this comment every few months and yet in between people keep talking about all of the functionality they’re getting out of anthropic’s offerings. It doesn’t seem to me that people are willing to give up the “shackles” as it were and we’re just going to wind up with what we’re fearing here. On top of that, local models are just not turnkey enough for the average person yet (go ahead and drop somebody into LM studio and tell them to get to work, it won’t go well).
The reason Anthropic gets away with all of that is that Claude revenues are increasing with no end in sight. People write these entitled rants and silently go back to Anthropic and OpenAI like obedient puppies.
That’s the old model for sure but we’ve never seen this much investment this rapidly. They have to be getting cold feet by now. Hence anthropic going public. If they had a strategy for getting in the black AND longterm viability I feel like we’d see them roll private longer. But instead we’re seeing all the signs of “grow, exit, let the next dude figure it out.”
The tokenizer is 30% more expensive (it generates 30% more tokens) just they are giving an offer now which will end by end of August. On max effort its way more expensive than Opus and slightly less than fable.
It has also strong guardrails and deliberate reduced training data around cybersecurity. On purpose. If you develop a system and then try to harden it, it will miserably fail.
It’s a neutered model. Pretty sure not what they had in mind, but they have to, since they invested so much VC money in developing it.
AI tech is clearly a Red Queen's Race[0]. In the long-term, whoever can run the fastest the longest will win. Adverse action that doesn't materially impact the rate of execution has little effect on this outcome except to the extent it reduces the rate of execution of competitors. Historically, American business is exceptional at executing this type of game and patient when it comes to making it pay for itself.
The AI model people choose today has no bearing on the ultimate trajectory of the competition. Both the US and China understand this. EU simply can't move quick enough to be competitive in this type of game, which I think they also recognize.
Everyone is betting that the model you use will be a Hobson's Choice[1] over a long enough time horizon. They are likely correct.
A lot of bitter europeans would down vote this comment, but saying Murica has pushed you towards China is hypocrisy is at its finest. Your incompetent EU politicians are the ones that has failed you by outsourcing every aspect of sovereignty to the rest of the world instead of self-reliance. You have nobody to blame but yourselves. In one year you'll be blaming China for abandoning the EU when they starts controlling their frontier models.
Well you are not wrong, I would also add corrupted and cowardly politicians. We are in worse position than China, and under full control of daddy USA, no matter what they say. If US would pull switch, it would be catastrophe for the EU.
Even the premier EU companies such as ASML are heavily reliant on US supply chain.
Isn't building a 90% frontier model relatively cheap for EU?
I feel like EU could start a company, start from available open weight models, feed 2bln a year into it (1% of the EU budget) and make a compelling almost SOTA model for the EU market. This company could partner with datacenter providers and sell it hosted in the EU or somewhere else with EU protection terms. The budget for this company would easily double with the added revenues and you are creating an ecosystem of providers that can compete with US big-techs and have a 500 million people market that can't wait to ditch US companies for them, given the current mood.
The model can be open weight and it's an easy way to compound the efforts we are seeing in China without even having to talk to each other. Maybe there is a way to make it work not open weights but I am not sure how would that work.
These are those kind of decisions that seem such no brainers to me, which probably means I am completely out of touch with reality.
Europeans are risk averse and don't have access to that many deep pocketed risk-taking VCs. On top of that the US is poaching all the talent since most EU firms won't or can't match the salaries offered in the US to AI researchers.
This may change in the future as AI gets more commoditized and the current US admin keeps shooting itself in the foot but they are still very far ahead right now
feed 2bln a year into it and make a compelling almost SOTA model
...and the reason is, if you give a bunch of people €2b a year and tell them "go try and make something", they'll make a ton of paperwork covering their asses and very little actual output.
This is irrespective if those people are European ("european google killer"), American ("cost plus" old US aerospace companies) or Chinese (which is why they do it a little different).
If there are no incentives to really try really hard, they won't do it.
In many high-tech cases in Europe, the formula for "let's subsidise the hell out of research and hope a commercially-viable business comes out" has a really poor track record.
Your second option - and possibly the best bet - is to find an existing company that already showed they're capable, and shower them with money, which is what French are doing with Mistral.
Not the EU should build one but companies from the EU!!!
We need to stop relying on the Brussel bureaucrats.
China is not building models. US is not building models. Deepseek is doing and Anthropic!
as a frustrated EU resident lamenting a lack of European option(Mistral is just not competitive enough), I will spread my money towards the Chinese models as well. Thank you Murica!
It is interesting to hear a European exclaim they would rather depend on a selection of models from companies in China with concomitant strings attached, rather than be dependent on a selection of models from companies in America.
Isn't it better to simply stick to whatever is best and then, should it be pulled from under you, simply switch out to the new best model that IS available? I don't know that models have a moat and you can easily swap out should you need to.
Pre-emptively betting on which is going to be least susceptible to government intervention seems like premature optimization to me.
Note the GP says "I will spread my money towards the Chinese models AS WELL", so it's more of a case of encouraging competition rather than betting on any one actor.
The "as well" is ambiguous. I interpreted it as "like other people are doing" rather than "spend twice as much as contingency". To me it seems like the more parsimonious interpretation, but I could very well be mistaken and they are indeed planning to throw money in both directions already just in case.
Companies in China with concomitant strings attached
What strings? The Chinese models are open weight, you don't have to spend your money directly with those labs. They can be hosted within the EU, by EU companies without sending a dime to China.
The bigger question is does the EU have the appetite to invest in building out data centers/hosting infrastructure for this, and that's where I have my doubts.
Europe seems to be going through an identity crisis lately, and i hope this sentiment doesn't continue. Europe becoming more reliant on the Chinese is not the answer, and will, if continues, isolate the EU from the US.
Europe may face technological and economic challenges, but one thing it isn't suffering is 'an identity' crisis - except in the daydreams of right wing propagandists. The EU's identity is represented in its charter and the various treaties behind it.
Europe becoming more reliant on the Chinese is not the answer, and will, if continues, isolate the EU from the US
There are sound reasons to avoid reliance on China, but the risk of isolation from a fading superpower - who befriends the EU's enemies, agitates in EU politics, inflict needless damage on the EU's economy, and insults EU leaders - isn't one of them.
Also, don't forget how much they are medeling with the EU politics. Here in Spain the ultra right wing are following the thrump playbook step by step. Now I can't prove this, but with our current government standing up to both the US and Israel, there is a feeling that a bunch of money and "think tank" guidance is happening.
"Fading superpower" is typical EU cope. It may help to be a little bit introspective about why one might want to oppose EU politics, or its leaders, whose "leadership" over the last decade has led to unprecedented migrant, economic, and energy crises, and stalling growth.
No, fading is right. The US is willingly and deliberately ceding much of its soft power. The US also caused a global energy crisis by being so completely incompetent in their dealings with Iran in the on again off again toxic s/relationship/war
Even if the US isn't fading, the message is still clear: the country is adopting a more isolationist stance and has no problems alienating its allies. Why would you want to continue to tie yourself to a nation like that?
Seeing the word 'cope' lobbed out is usually a sure sign a poster is projecting, and so it is here.
What exactly is there in the USA's destruction of the economic norms that have always served it, or in the pointless dumping of its hard-won soft power, alienation of its allies, deliberate weakening of its intelligence gatherers, rampant open corruption from its leadership, or in any other of the innumerable harms it's inflicted on itself the last 18 months, that you think is conducive to the US maintaining its superpower status?
Proving superiority? Proxy controlling venezuala, creating LLM's and locking down the frontier models while GLM has to distill the models to be remotely competitive, having the hard power to ensure Iran can't fire AK's into crowds and develop nukes... I don't get how this is not percieved as immense strength? How are people defending terrorists who have been consistently saying "Death to the West"
The bedrock of economic trust and co-operation that only ever served the USA's interest. What do you imagine the new coolness towards US companies or US lobbying is going to do to US GDP longterm?
You actually typify the myopia of many of Trump's supporters. "Cash in today: fuck tomorrow."
Look, i've lived in Europe for years. My wife is from switzerland. But what's with this rhetoric? It's one thing if a democratically elected president who will be out in 2 years is something you hate on... but it's turned from that. It seems every European consintely berates us, from a fundamentally level now. I won't defend trump, but what has threatening annexation of greenland done? Billions in additional military buildup, which is good for both our economies. What has threatening to leave Nato done? Billions in additional military buildup... Nato membership requires 2% of GDP to be spent on military, and until recently, very few memberstates fulfilled those requirements. Sometimes force and fear is the only way to get entities to wake up to the reality that you have a literal war on your doorstep, and you still seem to think US is your enemy. WAKE UP. We are allies, and in both world wars the American people have lost millions of lives to ensure your freedom. Russia and China are allies and Xi has said "No coorperation is forbidden between Russia and China." When China invades Taiwan, and the next world war starts, the only path forward is is for the EU and the US to REMAIN ALLIES. Don't let hate fill your heart, for things that have benefitted us both.
Nato membership requires 2% of GDP to be spent on military.
No, actually it isn't a condition of NATO membership to spend 2% on defense. This is a myth.
It's one thing if a democratically elected president who will be out in 2 years is something you hate on... but it's turned from that. It seems every European consintely berates us, from a fundamentally level now.
Do you think that having experienced this treatment from a nation previously trusted as a friend and ally that Europe can sensibly revert to its old confidence in the USA? Sure the Democrats might win power in 2028, or even a reformed and sensible Republican candidate. But who's to say the next populist Europhobic nutter isn't another 4 years behind them? This is the central problem for the US, that many of its citizens still won't confront: there are costs to unreliability, delinquency, bullying and threats.
I won't defend trump, but what has threatening annexation of greenland done? Billions in additional military buildup, which is good for both our economies.
This is childishly fatuous. Europe, then, should be grateful to the US for threatening to invade it?
I mean, this is not necessarily a problem for the EU. Some might say it's a goal.
The USA is far more dangerous a "friend" than China is an acquaintance. China has not been threatening military annexation, China does not randomly start trade (or real) wars. China doesn't just turn away from international commitments.
Bottom line: China is a far better international partner than the USA.
China has not been threatening military annexation
Maybe not in Europe, but ask their Asian neighbors.
The USA is far more dangerous a "friend" than China is an acquaintance.
That's true and will continue to be true for 2.5 more years. European countries too have had bad leaders (like Germany), but have recovered. So too will the US.
China is a far better international partner than the USA.
China is not a democracy and does not share western values.
taiwan?
> hk?
trade wars... have you actually looked at how china uses trade as political bargaining tool??? Look at how China treats Japan, south korea, etc
China has not been threatening military annexation
They've been doing military annexation right now in the South China Sea.
China does not randomly start trade (or real) wars.
The invasion of Vietnam? The subsidization of industry and pegging their FX?
China doesn't just turn away from international commitments.
Abandoning Ukraine despite being a signatory to an agreement that assures their defense?
This is not an anti-China post. I don't like anti-XYZ country posts that create tension and make people defensive. I am not particularly against China more than other major powers. They have their interests and they pursue them selfishly, like other countries do. This is just a basic lesson about the world you live in.
For Ukraine, America has treated them far worse than China, humiliating its leader, buying Russian oil, publicly agreeing with Putin, telling Ukraine to just give up its land and people, charging Ukraine for its support, trying to bend Ukraine over a barrel for mineral rights in exchange for weapons, I could go on.
China does what it says it will do. The US lies to your face and does what it wants to. One of these is a far easier country to deal with.
Europe becoming more reliant on the Chinese is not the answer
China should be dealt with as a normal country. There's no need for undue anxiety there.
EU as a trade block should exercise reciprocity and protect its own interests accordingly though.
As for LLMs, I see no issue in using Chinese models. With the talk of digital sovereignty, you can run open source models on EU datacenters without necessarily having to spend the money to train them.
isolate the EU from the US.
That is not a bad thing. In fact, I hope this separation grows stronger.
It was about time European countries lifted themselves from the US shadow.
I said that the EU should have normal relations with China. It has no reason to inherit the US anxiety about China being a contender in the world stage.
Trade with it normally, do trade deals where it makes sense, use reciprocity and protectionism where it fits.
Trade with it normally, do trade deals where it makes sense, use reciprocity and protectionism where it fits.
This is extremely controversial. Where do you draw the line? Ev's are okay, cause the climate... Oh, wait, our own car industry dies? It's okay competition! Oh wait... They have no min wage or safety standards? Oh shit, where'd our auto industry go...? Oh, guess that didn't make sense... Lets tarrif...
You should not build a business-critical function to rely on a particular proprietary LLM stack period, especially with so many sensible competitors in place now. It's insane to me that this needs to be said.
The SOTA frontier models have value elsewhere, not monetarily perhaps, but certainly per user. Quite a few cool things have come out of that brief Fable window. There should be more.
As much as i hate current admin, slowing down advanced model until figure out security impact is a good thing. It's called national interest over commercial one. You didnt loose anything. US customers except a few selected one lost access the same one as EU customers. In a few weeks advanced model got released.
So if you decided to bring money to communists you can put whatever rational but not this. Do so , and you will loose your last competitive edge in this domain. ASML. After that EU will become a completely agricultural-only region, since edge is lost almost everywhere else.
The damage is done. You cannot build a business critical function on top of American SOTA frontier model. Especially not with the current crew in charge.
I mean, this was already pretty clear before. But it surely didn't help!
The Trump US gave us (Europeans) the kick in the bottom we needed to get the head from the sand.
Like never we delibrate specifically on non-US solutions (objectively great) because we realized we are neck deep in US dependence. It is not that it was not known before, we just did not feel the threat.
This is why EU companies niw look at our own solution (which are late and will probably suffer from the incompetence and mess of the EU institutions) but another key playet is round the corner, namely China.
Trump managed to make us look elsewhere than the US. Thanks for that.
I don't really trust our EU leaders not to pull the same stunt. So we're back to Marx's "owning your means of productions". Which has always been good advice, whether it's GitHub's recent failings, FaceBook's blocking, or some Google service on their graveyard.
Oh come now. Fable was available for less than a week before it was pulled, not enough time to build a business critical function. The government isn't going to pull a model that has been out for a substantial length of time. Or do you also avoid using US-developed encryption?
(Okay, I can't predict what crazy crap this particular administration is going to do, but that goes for anything, well beyond AI. I think it's about as likely that they would restrict access to Opus as restrict exporting iPhones, or bomb Greenland, or whatever.)
Who is creating business critical function on top of something that is for entertainment purposes only (all providers have equivalent clauses)? AI tools and shovel sellers don't count as they just can just push the entertainment downstream.
Fable was (is) a major leap forward for my development tasks. The quality of the model compared to Opus 4.8 (when I last used it before the ban hammer) was night and day. Fable single-shotting complex and complete applications was a beautiful thing and I can't wait to get back to developing with it.
are export controls the right thing ? Probably not.
but the american economy is over-exposed on "A.I" - the capital expenditure, while the Chinese are proving you don't need to spend tons of capital to get close to the frontier.
the Chinese have better building capacity & cheaper energy. that means the market has to correct at some point.
My local government has way more power over me than some government on the other side of the world, and way more reason to be interested in my activities. That's just reality.
Relatives vs absolutes. America will spend $500B and because of leaky pipes that's effectively 100B going directly to what's needed. China gets a lot of bang for their buck so even if they're spending a fraction of the US, they make it worth their money.
That's true for domestic labor and manufacturing, like shipbuilding, but the bleeding edge chips only come from one place and the US labs get the best while Chinese labs do not (unless they smuggle them). China gets creative, sure, but it can't overcome the fundamental issue that the US labs have more magic rocks that do math faster than their magic rocks. And the current state of the art is to just "do more math".
Nvidia GPUs aren't even the absolute SOTA for LLM inference anymore. Some labs are moving to ASICs and Huawei already have their own custom chips running DeepSeek as we speak.
There's enough money and scale on the line that software affinity like CUDA is no longer the deciding factor and there's margin for custom stacks.
Even more so after the USA GPU exports ban which is proving to have backfired by speeding up China's tech growth.
Definitely hasn’t backfired. Exporting would have just sped up their progress. Instead they had to get clever and lean into the bottleneck which for them, now, is compute efficiency. This is temporary and they’ll figure out competitive chip design and production but not for several more years. It’s incredibly hard to match the quality of NVidia and TSMC, as China has found throughout years of trying.
I’m worried if west gets to ahead the best thing for C is to destroy the factories to slow down the ai.
If west ai is too advanced can take over the world. So better go to war now on a same level playing field than later when you need to fight against a SGI
That is exactly the scenario that I believe and invest in. I peg trouble in Taiwan in the next 2 years at about 30%, which is waaaay higher than is priced into the market right now. If you think intel has gone up in price a lot now, it will absolutely skyrocket if TSMC fabs suddenly disappear. After adjusting to a domestic fab pipeline, we will have built up again an industry with a good talent pool (which we don't have now, Arizona TSMC fab needed to ship people in from Taiwan). At that point, why go back to a TSMC model? Hence we will have a booming domestic production pipeline, though still with complex international dependencies for various components.
Nope. If China were not banned from US-controlled chips, it would be importing chips at much higher prices, therefore getting less bang for its buck while strengthening competitors with its money in the process.
Instead, the US banned China from chips and lithography machines, giving China the legal excuse to start producing them domestically without violating WTO rules. Now China produces cheap chips and uses them with cheap electricity.
This was a dumb move by the US. Brought upon it by dumbf*ck aristocratic elites who grew up in isolated mansions and then received law degrees, with absolutely no understanding of technology and technology ecosystems. They thought they'd just make the rules and everybody would have to obey. It turns out in technology, they don't have to...
Nope. If China were not banned from US-controlled chips, it would be importing chips at much higher prices, therefore getting less bang for its buck while strengthening competitors with its money in the process.
Nowhere near the value of having access to chips, at any cost. They have extremely deep pockets. They already pay 6x the cost per FLOP.
Instead, the US banned China from chips and lithography machines, giving China the legal excuse to start producing them domestically without violating WTO rules. Now China produces cheap chips and uses them with cheap electricity.
You think without export restrictions China wouldn't be doing the exact same thing? China needs absolutely zero legal excuse. I mean sure they have compute available on grey market / domestically but at 6x the cost per FLOP. Access to NVIDIA chips would make it dramatically cheaper for them. Yes you get chip income but that is not even close to what you lose. The strategy is doing what it was always supposed to do: slow them down, bleed their resources to force them to spin their wheels catching up. China is doing a great job with this but they are fundamentally constrained by these export controls.
You are right that this greases the wheels, they are further along than they would have been without export restrictions, but they are still delayed even with the reduced friction. The alternative is that they move slightly slower _while having the same compute infrastructure available_ and at dramatically lower energy costs. That is a far worse position for the US to be in.
This was a dumb move by the US. Brought upon it by dumbf-ck aristocratic elites who grew up in isolated mansions and then received law degrees, with absolutely no understanding of technology and technology ecosystems. They thought they'd just make the rules and everybody would have to obey. It turns out in technology, they don't have to...
I think this is too cynical. Neither one of us is in the room to actually observe the real decision making, but export restrictions as a strategy are not some "dumbf-ck aristocratic elite" thing. They are perfectly rational from a strategic standpoint and arguably doing what they're supposed to do.
China’s chip industry is 7-10 years behind, and that is because they are desperate and have been throwing money at it. But technological progress requires more than just money.
By "the race" I mean "the frontier, and the race to superintelligence." They are categorically behind. The best they can do with the capacity they have is to distill US models, but that doesn't enable them to reach the scale needed to leapfrog the US in the race to superintelligence.
It isn't distillation that gave GLM 5.2 it's jump in performance.
To quote Pat Toulme:
There’s a big misconception about how GLM 5.2 was trained. Yes, they distilled Claude and GPT 5.5 — but distillation is not how they matched Opus quality. Distillation only fixed the cold start problem in RL.
RLing an agentic coding model isn’t rocket science. In simplified terms:
1. RL needs trajectories — rollouts where the model actually completed a task in some env
2. No successful trajectory on a task = zero gradient = you can’t RL it. This is the cold start problem
3. Distillation solves it. You seed your model with knowledge from a smarter one (Claude, GPT) on tasks it can’t do yet
4. Now it produces positive trajectories on those tasks
5. RL on those trajectories and hill climb agentic coding
6. At that point you no longer need to distill and can solely hill climb RL to better models
This is an interesting curve. I’d argue it’s harder to get to Opus 4.8 from scratch than to go from Opus 4.8 → Fable/Mythos tier.
GLM 5.2 is already producing positive trajectories, so they have plenty to RL on — they’ll keep climbing to Mythos quality without distilling any further. They no longer need American models.
Not exactly sure what the finish line in "the race to superintelligence" looks like and even moreso it's unclear why you think being there first is a critical benefit.
I don't think we have any evidence that LLMs will lead to superintelligence. And even if they do, being first in no way locks out the party that gets there second or third.
"Superintelligence" is a convenient marketing myth that the American AI companies use to justify their pursuit of regulatory capture. There is no "race to superintelligence," just a race to rent seeking.
The H200 is a more powerful H100, and the H100 is far from obsolete - for example it is what Musk's Colossus-1 data center, currently being rented to Anthropic, uses.
The only difference between using a slower chip such as H100 (or Huawei's Ascend 750) vs NVIDIA's newer Blackwell chips (B200 etc) is that you need more of the slower chips to achieve the same total FLOPs in your cluster. It has zero effect on what models you can run on it.
It's hard to understand: Do you think that having to use chips that were 20% less performant would lock China out of anything? Are you not aware that with the low costs they have, they can just stack ten times or more datacenters and run workloads in parallel to make up for that performance difference - even if there was actually one that high?
their putting a ton of money into things that will benefit AI work if they work, but chipmaking is important for other reasons too, so if AI (somehow? I doubt) doesn't give enough ROI chips can be used for other things
It's a little too later for export controls. Chinese models have made massive gains through legitimate research but also being trained on billions of tokens from Claude/GPT. The politicians have no idea how to stop that from happening so they pull the only lever they know.
Also, don't forget that we're only here because the clown-in-chief cut them off from GPUs - forcing them to make do with inferior hardware (and hence superior ideas). I have no doubt that any controls would only make China stronger.
First the US blocked China from buying NVIDIA's H100, but allowed NVIDIA to sell them a China-special nerfed H100, the H800
Then the US blocked the H800
Then the US realized that China was indeed accelerating their US independence, so does a U-turn and has now approved the H200 (more powerful than both the H100 and H800) for sale to China, on a case-by-case basis
However - and here is the real kicker - China themselves are now blocking H200 purchases since they want the acceleration towards Chinese homegrown solutions to continue, and now we have Chinese models being served on Huawei Ascend chips, with next generation Ascend 750 chips (using CXMT made memory) targetting training currently in testing.
Now we have Apple asking the US government for permission to buy memory from CXMT given the global shortage!
The Jensen argument that "oh we get them hooked on our technology and that will actually be better" is bullshit -- they would do the exact same thing they're doing now of building their own supply chains and compute power but be able to accelerate their progress in the meantime with US chips. It is worse in every way to sell them SOTA chips (or even previous generation chips).
Of course they have ways around this -- you can get black market GPUs and also API costs are SUPER cheap there -- they hack the subscription model, bundle a bunch of user accounts, and route API requests through them.
And yes they are getting to parity with US technology and will get there in a few years, they have decent chips but still not the quality of NVIDIA.
I don't know what you mean by the "quality" of NVIDIA. All the western AI accelerators, from NVIDIA, AMD, Google (TPU) and Amazon (Trainium) are made by TSMC, and their speed/density is only possible due to TSMC using EUV machines made by ASML (a dutch company).
Without access to ASML EUV machines, the Chinese will be stuck on older less-dense chip manufacturing nodes, but in terms of building a cluster this is just a cost/efficiency issue - it means you need more chips, more electricity!
You misunderstood my comment. My hypothesis is that it did _neither:_ it accelerated along an axis, and American SOTA/frontier is now laggard (efficiency).
Deepseek and Kimi are writing paper after paper with substantial architecture improvements for efficiency, because they can't just throw more hardware at the problem.
And China is now doing something on the hardware axis; which it may have never explored were it not for the sanctions.
Oh no Chinas chip manufacturing efforts have a long and rocky history, they would be pursuing a sovereign stack no matter what.
The tradeoff is worth it. They’re even publishing papers which blows me away — their efficiency gains quickly become incorporated into frontier models because they are open sourcing them. They would be aggressively pursuing the same chip pipeline strategy as they are today.
US is lagging in efficiency work because the ROI is better elsewhere for us. We have the same tier of talent, once the script flips so can the research.
And China is now doing something on the hardware axis; which it may have never explored were it not for the sanctions.
Gaining parity on the semiconductor fab front has been official government policy as part of their Five Year Plan for at least the last decade, straight from the Politburo. They were always going to go down this path, and with AI playing front and center on their upcoming plan, there’s even more pressure.
There was never a possibility of them not exploring it.
There’s an ambiguity here: what is “this area”? If we’re talking about the semiconductor industry, they’ve been investing billions since the early nineties. The really big push came with the China Integrated Circuit Industry Investment Fund in 2014 at which point they were plowing billions into the industry across the public and private front. That one fund alone has $100 billion in assets under management at this point, and there are many other funds involved.
They’ve also invested in AI separately (before LLMs) in that time period but I’m less familiar with that sector.
Slow? The chip ban was just a few years ago. The result? China is more or less self-sufficient in chips, about to catch up with the latest generation. They even banned China from using lithography machines. The result? China is now producing lithography machines that only few in the world could produce.
Let's face it - all bans were dumb. They just gave China the legal (per WTO rules) justification to start producing everything domestically. The bans work as a reverse tariff, as a protectionist measure that actually protects your competitor. If China did those, others could bring China to court at the WTO. But the US did that, so nobody can sue China.
They are still a few years away from parity. It's not that they _cannot_ train frontier models its that it costs 6x as much roughly, and thats ignoring the headaches and extra hoops they need to gather that compute. That is the entire point of export controls. Slow them down, make R&D more painful. The whole picture -- Chinese research now being best in the world for compute-efficient AI development, China aggressively pursuing independence in compute capabilities -- are all perfectly predictable and do not invalidate the point that export controls are doing their job.
Regardless of any export controls (or really anything else) China would be aggressively ramping up chip production capabilities as fast as they possibly could. Export controls maybe help slightly here but it's worth it. China will succeed too, but it takes time. China has been pursuing this for decades.
Let's face it - all bans were dumb.
Predictably, this is oversimplifying.
They just gave China the legal (per WTO rules) justification to start producing everything domestically.
It just doesn't matter, reliance on chips from an adversary is an untenable place to be. They don't need any legal excuses.
he bans work as a reverse tariff, as a protectionist measure that actually protects your competitor.
Again untrue -- tariffs are devastating economically but BOTH the US and China want independence from another, it's just a very painful cost economically to do the divorce. It's far less efficient and horrifies economists but geopolitics is multifaceted.
If China did those, others could bring China to court at the WTO. But the US did that, so nobody can sue China.
Hmmmmm would this really work? Would this have any meaningful impact whatsoever on their strategic initiatives? I highly doubt that.
I'm extremely left leaning myself but I'd rather not be able to tell who won the last election cycle by looking at HN and seeing whether comments containing phrases like this for the president are upvoted or [dead]. The only thing it aids is convincing people the guidelines are for selective application. Everyone who doesn't like ${currentPresident} will be unchanged and those who do aren't going to be convinced by constant casual name calling across the site - probably the opposite.
I usually also expect to get called out as only saying this when ${currentParty} is in power or when it only benefits ${awfulThingsAboutCurrentParty}, regardless which that is and what those are at the moment. I've started including this note and the searchable token "reallynotpartyrelated" when commenting such things for later reference - this paragraph can otherwise be ignored :).
I just finished reading Incorruptible and a central theme (Anthropic is a case study) is that trust is singularly the most important currency a business has. The past few weeks have done wonders for Anthropic’s marketing but just as much if not more damage to the trust factor. Businesses will continue to use Anthropic because it’s the default and accessible where it matters (AWS, Azure, GCP, Databricks, Snowflake, etc). But the trust factor has dropped. It’ll be interesting to see if they can turn the tide. Maybe Fable will be too awesome for people to care about the past few weeks?
Most people don't care about trust anymore, we live in a low trust society where this is to be expected. People gladly line up to be poisoned by fast food restaurants and trade 1/3 of their life for pieces of paper on a daily basis.
> The past few weeks have done wonders for Anthropic’s marketing but just as much if not more damage to the trust factor.
I don’t agree with this at all. IMO Anthropic has shown that that are willing to take even significant financial hits in order to stand up to their values and mitigate what they consider to be dangers and risks. Some people don’t like that or think it’s just marketing. But that’s exactly what Incorruptible is about: companies that are willing to take a stand, even in the face of overwhelming pressure from competitors, shareholders and naysayers.
This is assuming the whole "AI safety" thing was anything more than Silicon Valley kool aid. The government just bought into the marketing and radical safety woo woo wholesale and panicked.
You could legitimately argue this is a unique situation, a brief window where cybersecurity is being disrupted by new harnesses + a strong model. But that will be fleeting as other models and products adapt very quickly, and the long term benefits of keeping it from the market are questionable at best.
It's not a coincidence the export control was dropped after Dario (who is a hardcore AI safety activist much like Ilya Sutskever) was replaced by Tom Brown in the government negotiations.
There is no reason to have less trust in Anthropic. It's not clear they did anything wrong. It's more likely the White House simply tied itself in knots, consistent with the last year and a half of chaos from them.
It's a good reason to not tie your company's success to US based hosted AI though. I've started experimenting with GLM 5.2 and other than the tooling needing a lot more setup once you're there it works pretty well.
I'm hoping that some relatively cost-effective self-hosting solutions come about as a result of Hopper hardware being sold off as they're retired from DC use.
It’s the thousand cuts problem. Look at the stories over the past couple of weeks: silent downgrades that they then walked back, billing errors with claude code, highly sensitive classifiers that made it impossible to do simple things (I asked a few botany questions and my very long chat got lobotomized), and several more. The ban is only part of it. It’s the whole rollout and the fact that it won’t be available in subscriptions in a week or two.
To be honest, given the overwhelming (and unfair, and unreasonable) pressure against them from the Leviathan, which the other companies do not have to deal with, they’re doing pretty damn good. In my mind the trust has actually increased that they can handle bad times and still push forward.
we’ve got the benchmark graphs from the announcement, and i hear tepid opinions from people with gpt 5.6 access. fable is far ahead of gpt 5.5 (my prev daily driver) also. much less passive aggressive / overly defensive.
I'm not subscribed to either right now, but have always preferred the GPT "personality." It does what I tell it to, not what it imagines. With Claude I was constantly jamming the escape key -- "STOP THAT".
Considering US Govt originally said Fable 5 should only be used by Americans and blocked off everywhere else, and that all of a sudden a big change of heart - it makes me wonder if the Fable 5 that I might be able to use tomorrow will be the same Fable 5 an American can use? I just want to know the specifics of what changed. Because something has changed. Unless tomorrow, we can activate Fable 5, "But first, we need to scan your eyeballs for Persona!"
Anthropic has taken steps in close coordination with the U.S. government to address the risks associated with Claude Mythos 5 and Claude Fable 5. Among other things, Anthropic has agreed to proactively detect and address security risks associated with the models; to work diligently with the U.S. government on protocols and standards and releases for Mythos, Fable, and future models; and to inform the U.S. government of any malicious activity.
ah, I see. so, Chinese models are getting banned soon.
My only hope is that they don't overdo the guardrails. Claude's been one of the best coding models, and it'd be nice if it stayed that way for real and legitimate developer workflows.
The new classifier also comes at the cost of flagging benign requests more often during routine coding and debugging tasks.
Looks like it's gonna be even harder to use than before, if not impossible. Subscription users only get it for a week, and only for 50% of that week's usage.
I expect they just increased the sensitivity of their existing filter. They probably intend to gradually lower it over time, or perhaps introduct Fable 5.1 with less filtering.
It's pretty clear that they didn't want this anyway, despite what the conspiracy theorists want to believe.
TAICO. But seriously, I think the whole capex bubble is a response to the unpredictability of this administration by locking in future sales and orders to reduce the impact of its mercurial moves.
That a good 1/3 of America is still cheering this behavior on is beyond me. I didn't vote for him anytime he ran, but at least during his first term there were some adults I disagreed with in the room as opposed to the barrel of chaos monkeys we now have. He really doesn't reflect the views of either party, he is his own thing.
I'll take the opposite side of that bet. My prediction is that Fable 5 Re-Release will have safety classifiers that flag much more often on mundane front-end and back-end coding tasks.
I'm not fan of this administration to say the least but assuming they are incompetent is dangerous. Assume they're actually 10-head and ask yourself, what would explain their behavior?
For example, you make an astute observation corroborated by the duration of the ban. Aligning a model is the biggest challenge of these companies, it's unlikely they were able to make a giant leap in alignment capabilities in about a month. You know what is easy to do in a month? Establishing the foundation for digital identity and surveillance.
The government just forced (heavily incentivized) these companies to invest in classifiers and monitoring in a way they haven't needed before. All of this new infrastructure can be used outside the context of the people using language models.
Almost as though they were indefensible bullshit to begin with. I wonder who extorted whom and for how much.
Like gee, that was fast. If this had any bearing on reality, one would imagine the vetting process would take actual time and that there would be a real, material difference between what we knew then and what we know now.
If it’s blocked before any output, you’re billed only at Opus rates. If it’s blocked midstream, you’re billed Fable rates for what was generated so far, and Opus rates for the rest.
They were the ruling class of half of England for a significant period. That is not marginal. It influenced laws, culture and language, though later displaced by the Normans who also had a profound impact. Were the Normans also marginal as they did not have a huge genetic impact?
That involved a rather genocidal approach in 1065 - killing everyone related to, or doing business with the Vikings. This tends to get downplayed by historians. And when the Vikings/Norsemen came back for revenge in 1066, King Harold 2nd managed to kill off the Viking force at Stamford Bridge, but was too exhausted when William invaded down south (being defeated at Hastings). 300-ish miles is a short drive by car, but in an era long before preserved food or mechanized transport, such a march over about 2 weeks would have been terrible.
The real problem in all this is lack of predictability. The White House is just making it up as it goes along. Investors, customers don’t know what the process is and can’t plan.
In the end, we need actual laws that tell the market what kinds of models get paused / analyzed, how long that pause can be, etc.
Otherwise there’s no standard and it will be easily abused and prevent investment in US AI companies.
There are laws and regs. Just because you’re not familiar with the Defense Production Act (50 U.S.C. § 4511 ), Export Control Reform Act, 50 U.S.C. § 4812 and others doesn’t mean that they don’t exist and apply.
Applies to all industries with the memory care patient currently occupying the White House. Passing laws won't help when they can be effectively struck down until the next sitting of the SC.
That's been the problem both times this administration was in power. Some people like to call it 4D Chess (because they don't understand it and their conspiratorial thinking requires there to be "a plot" or "a plan"). The last person to get to the ear of this President is the cause of any new "process" or "policy". It is just whim. Like a dog seeing a squirrel. Something shiny has attracted his attention. And that new squirrel gets chased.
In the end, we need actual laws that tell the market what kinds of models get paused / analyzed, how long that pause can be, etc.
A: Congress used to be able to establish regulatory authority in the executive branch to manage details like this, because writing a useful law that covers this in any detail would be impossible. Thanks, GOP-stacked Supreme Court, for wrecking that.
B: This administration doesn't give a rat's ass about the law, so none of this would make a difference anyway.
So it seems like David Sacks was right that the US government only really got involved because the Amazon/ AWS CEO complained about latent security threats [0] and that the government was reluctant to actually issue the export control.
Sacks has said so many obviously false things in reference to government actions (Jan 6th, Ukraine, etc) that there is no reason to trust anything he says.
If the Trump administration wants him to say something, he says it. Maybe what he is saying is true, maybe it isn’t. There is no way to know.
The story they are telling is exactly the same whether it was true or they were just shaking down Anthropic for no reason.
There are many different factions within the administration. Sacks was part of the "deregulate the tech sector" faction, which on this issue is aligned with the "beating China overrides anything" faction.
That's distinct from the Pete Hegseth faction (I don't really know how to characterize his faction other than anti-woke maybe?).
Sometimes these factions agree, sometimes they don't.
In general your approach is right - you can't trust most things coming out of this administration. But you can try to unpick was actually happened by who is saying what, when. That is useful even without liking the people.
But you can try to unpick was actually happened by who is saying what, when
Indeed, this is very prevalent in investigative journalism as well. Everyone has biases, but it's understanding that and piecing together the various parts that brings the truth out.
Fable was such a clear improvement. I can't wait to start using it again.
Opus 4.8, you did a lot of good work for me, but in the name of all things holy... I will not miss your communication style. So long and thanks for the fish.
Indeed when they are coming out with a model that is, say, gpt 5.5 or opus 4.8 grade. Gemini currently does not compete in the same class. I wonder what do they use internall at google. Surely not 3.5.
I think googles been putting more of their money into super long context stuff, not powerful coding stuff. they've got 10million token windows for some internal stuff (Gemini 1.5 Pro Test), more research says meta is also in on the long context game (Llama 4 Scout)
Love how they waited until almost 5p west coast time on the last day of the fiscal quarter and clearly gave Ant no advance notice (or Ant would have had Fable release queued up on a button).
Fable 5 apparently can't be used for coding? (This is from Anthropic's announcement.)
After a series of productive conversations with the US government, we're redeploying the model with a new set of classifiers to target and block more cybersecurity tasks. In the near term, some routine tasks like coding and debugging will fall back to Opus 4.8.
The new classifier also comes at the cost of flagging benign requests more often during routine coding and debugging tasks. As with all our safeguards, we’ll continue to refine this to better distinguish genuine misuse from legitimate requests and reduce false positives.
But wasn't the whole (claimed) reason that it got banned in the first place that it is a logical impossibility? Reviewing code for bugs is legitimate. Writing regression tests for bugs is legitimate. If the bug happens to be a security issue then the regression test may be a PoC or at least a step towards one.
I wonder if they meant to draw a link between cybersecurity coding and debugging specifically or this really will apply to all coding and debugging. If it really is a more general restriction, then this is practically the same as it still being restricted.
where did you find that? weird coz their post announcing this also mentioned Claude Code:
Fable 5 will be available starting tomorrow, Wednesday, July 1, to users globally on the Claude Platform, Claude.ai, Claude Code, and Claude Cowork. For Pro, Max, Team, and select Enterprise plans,1 Fable 5 will be included for up to 50% of weekly usage limits through July 7, after which it will be available via usage credits. We will re-enable access on AWS, Google Cloud, and Microsoft Foundry as quickly as possible.
Reading the full blog post, I think the summary was just poorly written (because it's hard not to read that sentence like all coding is redirected to Opus).
Fable 5 will be included for up to 50% of weekly usage limits through July 7, after which it will be available via usage credits.
The new classifier also comes at the cost of flagging benign requests more often during routine coding and debugging tasks.
Here's Fable 5, the strongest model. Actually try to use it to harden your code and it turns into Opus 4.8. You have seven days to use it, and only half of that time's worth in actual usage. Enjoy.
Looks like it's going to be a thoroughly frustrating experience, even worse than initial rollout. For subscription users, the situation is almost indistinguishable from the export ban.
This is what I’m thinking, too. OpenAI is gaining a structural advantage purely on the basis of not being considered an enemy of the administration. Anthropic really blew it with Washington.
They blew it by pretending to take some sort of moral high ground while their model was being used in Iran to blow up schools. I say they get what they deserve. I would have a lot more respect for them if they banned Pentagon use of their models outright.
i don’t think 5.6 will be as good as fable. their benchmark graphs say so, maybe they’ll take some limiters off next week or something now that being Fable tier isn’t scary anymore.
So fable will jump more often to Opus than it already did on original release? Working with fable felt like having to constantly fight against your work tool. Frustrating. Now they're making it even more frustrating.
I can't roll my eyes hard enough at all the people who say this shit about Anthropic every day. I know I'll get downvoted. I know it's lame to complain about future downvotes. I don't care anymore.
Anthropic was correct in their assessment and early warning of Mythos's capabilities, and they did this rollout pretty well. They were not hype marketing. They were being genuinely cautious and honest.
The Trump admin was largely unreasonable with the sudden export control. (Though not entirely unreasonable.) The export control also had not much to do with Anthropic's pre-release warnings. See: GPT-5.6 currently being held up by the federal government.
Anthropic was correct in their assessment and early warning of Mythos's capabilities, and they did this rollout pretty well. They were not hype marketing. They were being genuinely cautious and honest.
So what prevented them from putting in the sort of safeguards they ended up putting in without hyping it for months prior as being so good, it's too dangerous?
I'm not sure what you're saying. They spent ages adding guardrails to Mythos. Then they spent ages creating a whole new even more guardrailed version of Mythos called Fable. Then they added tons of classifiers so API requests to Fable would get rejected even if you ask a question like "what is a molecule". They put the thickest layer of bubble wrap around the model of any model in history. And then just today they made the classifiers even much more extreme than at the initial launch.
If they were truly honest in their beliefs of the potential risks of this model, how would their behavior have differed? I would expect exactly the behavior we see, if they were being honest in their belief.
Also note Dario here saying they shot themselves in the foot commercially with how they handled the rollout of the model - you can tell by his reflexive reaction how ridiculous he considers the accusation: https://youtu.be/v1wZwxY3CMg?t=2103
Just a code review of my own project. Downgraded to Opus 50% of the time while evaluating the critical I/O and memory safety parts, the exact thing I wanted it to do.
I mean what do you expect when covering memory safety topics with a model that's not allowed to cover security topics? This seems totally expected. It'll be the same when 5.6 is released.
They're very similar models though, just with different safeguards and restrictions in placae around particular use cases.
I guess the underlying issue is that there is this model that is very capable, but it's being hobbled because of a fear of abuse. It may well be justified, but for a legitimate user any restriction just makes it a worse product and after all the puffery around how good it is (and some practical experience of how good it is) it's a pretty shit experience. "Here's our best model, no you can't really use it".
They're going to be verifying people's identities anyway. Why not put that bit of security theater to good use for once? I'm the author of project X, now let the model work on it, would you kindly?
This "only super special corporations get the model" nonsense is dividing society into haves and have-nots.
Fable is very strong for finding bugs. But you are explicitly not supposed to use it for cybersecurity. Even in the initial rollout I had it refuse and fall back to Opus when implementing a change password function
It was already frustrating to use before. I wanted to review my own code for OWASP top 10 kind of stuff and it kept refusing. It repeatedly popped up scary warnings about how I was violating TOS. I had to go through quite a few iterations of that prompt. When I finally got it to work it burned through all my remaining usage on a single run.
I won’t even bother with it if they’ve made it even more frustrating. Instead, I’ve been using a combo of Opus 4.8, GLM 5.2 and DeepSeek v4 Pro. Then I have Opus synthesize and verify the reports from all 3 and make the fixes.
Fable 5 is switching into Opus 4.8 for everything I throw at it. It is not worth it Opus 4.8 is good enough for the next couple months. For $17/mo for pro anthropic is still worth it for claude code etc.
Yes, I am pretty sure it was simply poorly worded.
They almost definitely mean "you will notice even more false positives during seemingly routine coding/debugging tasks than you did at the initial launch". Which is not surprising, given the ordeal they've been put through. Hopefully it won't be too bad.
The main depressing thing for me is it's now only 7 days on the subscription, and then full API pricing, with no mention of even a plan to bring it back to the subscription in the future. (The initial launch mentioned two weeks of subscription, then API pricing, then a hope to return it back to the subscription not long after.)
So, you can't use it for coding, can't use it for 'sensitive' information in chemistry/biology. It follows that it's likely bad for medicine and adjacent topics too.
What can you use it for? To run a breadth search on Erdos problems?
I'm hoping openai releases 5.6 Sol in the meantime (and doesn't make it an addon like anthropic did) so we can leave for codex and have a ~Fable-level model to use
Silly me for hoping they'd actually honor their original 14-day promise. Per their latest blog post, they've generously slashed the timeline to 7 days, but wait there's more! It's now limited to 50% of your weekly usage:
> Fable 5 will be available starting tomorrow, Wednesday, July 1, to users globally... Fable 5 will be included for up to 50% of weekly usage limits through July 7, after which it will be available via usage credits.
Yeah, this seems a bit Scrooge-y after all the trouble which was essentially of their own making. I was expecting them to come back with a better deal as an apology, not a worse one.
I assume what they saw during the first coming of Fable gave them pause. Lots of people I know were using it non stop to the point of serious sleep deprivation. I managed to burn 6k in 3 days on it, and was myself using it from the minute it landed till the minute it was shut off. (Yes yes, I know, I am just saying there were stupid people like me swarming the available capacity)
I would be doing the same thing with opus or gpt-5.5 -- project in crunch phase. But I really did enjoy Fable. Not sure if it was worth the premium, probably, but it offered great design help.
Yeah for the first time in a long time I ended up using my entire weekly quota. Usually I go slow but with Fable I actively saw a huge benefit in pushing it and doing much more.
Hi subscription peasants! You have seven days of time and 3.5 days of usage to figure out how to get the most out of Fable while it constantly downgrades to Opus 4.8 every time it thinks about exploits while hardening your code base! Enjoy!
If they really cared about their image among their user base and wanted to undo a little bit of damage they've already done via various policies and decisions, keeping the limits and duration the same as before the ban (or slightly being more generous with them) would have been a really cheap way for them to do that. Alas...
I hope that their marketing and developer relations teams were already off yesterday, and that they will have better news for us today.
OpenAI is doing a much better job on this, offering generous usage limits to users at home. They also hand out usage resets for minor issues, that you can even apply at a time of your choosing.
5.6 isn't available to subscribers at all. "Better" on the optics front because they didn't tease users, but they're not better for subscribers regarding latest model access.
We lost ten days of the original plan (June 13th through 22nd) and got seven days (July 1st through 7th). You're not counting the portion of the original 14 days we already got.
They should give us a month of access again, I feel like I didn't do enough with Fable before it got blocked.
I only realised late that I had an algorithm problem that existing models were struggling with, and Fable had made progress with. It created a 14 phase plan, which I was able to execute with Opus after the restriction.
As another comment nicely put it, Anthropic generously gives subscription users 3.5 days of usage.
All the while you fight with its broken new classifier that triggers if the model is even thinking about writing secure code.
Apparently Anthropic cares nothing for their private users. This is insulting, and I hope they bankrupt after losing enterprise share to OpenAI's more efficient models.
Can't do anything else with GLM 5.2 being widely available and advertised as "Mythos-like", and even Japan dropping a credible model. Actually it would only hurt to keep them in lockdown.
Are you sure about that? But also I don't think anyone in the export control decision making has much of a clue about model capabilities as well. All someone has to do is show them a few articles, like:
if fugu/fugu ultra was good, why aren’t we hearing about how good it is? seems super slow and expensive, and everyone i’ve talked to who tried it gave up
That's at least better than the nothing we've been hearing all this time. Japan being what it is re tech, I expected them to be heavy in the space, but Fugu is the first LLM I'm seeing gain attention in the news. Although that attention is still also boosted by the timely release during the export control. It's strange.
It's interesting that they will only have it on the surface through July 7, especially since GPT-5.6 will presumably come out soon as well.
Of course, it's possible that Fable remains drastically better than 5.6, but to whatever extent Fable is the true frontier (if temporarily)... it makes me wonder if external commitments on compute put a hard deadline on how long they could run Fable on the subscriptions.
Fable is still unavailable to me on both web and Claude Code. I'm in Indonesia on Max plan (new paid user, only 2 weeks in). Are there specific steps to re-enable it?
OpenAI prioritized compute much much earlier on, so they’re probably just more able to provide the model while Anthropic seems to be busting out the seams
Considering Fable will be effectively unusable, while still triggering polymarket payouts by being technically available, I wouldn't be surprised if this so-called "restoration" was done entirely to deepen certain pockets.
If it's truly too dangerous to use you'd expect it not to be reversed at all.
Why would you expect a typical policy decision to be reversed within 3 weeks? If policies are going to be reversed within 3 weeks just don't do them in the first place.
Something I am not seeing discussed is why the sudden reversal?
Could it be Antropic promised NSA direct access to everyone's queries or something? Maybe an opportunity for admin officials to get in early on their promised IPO?
I am not a conspiracy theorist but this admin especially doesn't relent for free.
Wait, will it downgrade to Opus even when using with extra usage? So you pay a hefty amount up to the point where the model needs to do Real Work then it quits?
They asked Claude how to hide the Epstein files data that it found, so that even Claude and Mythos couldn't straight-up verify that Trump is a paedophile.
It took a lot of doing, but they finally managed it, so the plebs get to play with the toys again
Just let people use their subscriptions for Fable. Permanently. All of it. Even if it runs out at 10% of the equivalent Opus use. Let people choose, there’s nothing to be gained by not allowing users to exhaust their subscriptions rapidly on this other than ill will.
I am migrating my company to private open source AI and building custom tooling, orchestration, an IDE and harness around it. The commercial labs have show it’s far too risky to build on top of them.
With the labs moving into the app layer every interaction with the API related to product development or innovation is data they will steal and use to compete against you by adding those features to their everything apps. No one would hire a knowledge firm (law firm, accountants, management consultants) if they could steal your information and give it to your competitors. Their actions have remained me that we can’t tolerate that with AI systems.
With spaceX buying cursor and Google buying windsurf, and gathering all the developer interaction as training data, there is too much risk that development process itself will be rug pulled.
This makes sense but I am not comfortable with the open source picture either. It depends on the use case and long term strategy. If you're handling customer support tickets or something, beyond some capability I can't imagine the ROI would be worth needing the absolute frontier. You are then in a wonderfully lovely place: absolutely full control over the model and inference stack (if you want).
But
- Plenty of businesses are stuck between a rock and a hard place: make 3p models load bearing, or sacrifice performance to the competitors that are willing to swallow that risk
- I just cannot imagine a viable equilibrium where OSS models compete on capabilities with the frontier without a hidden payer and shaky economics. Quant funds, some sovereign AI effort, cloud business, sanctioned distilled frontier models; all of these are demonstrably viable vehicles for OSS development. But the optimal position for these purposes is not to be the best, it's to be good enough (which I think is the position they find themselves in). I can imagine temporary points where open models pull ahead but not sustainably.
I agree there are many many use cases where the optimal choice is to reach for open weight models (I assume yours is one of them).
But the economics of frontier model development necessitates that these models are behind and thats a problem for other cases.
I am not sure I understand your arguments. You seem to be taking both positions. I suspect that is because there are a few confounding variables and diverse needs AI solves and that makes a cohesive analysis hard to reach. I have a clear view that cuts through the complexity, whether you find it useful or persuasive is another matter but I’ll lay it out.
1. All intelligence has value. A Harvard MBA or Stanford CS engineer have value. Haiku has value, Opus has value.
2. Sometimes it makes sense to buy, build or rent capabilities. But lack of ownership of something your business requires to operate is an existential risk which requires ownership.
3. Current OSS models are good enough for substantial automation and productivity gains with the right orchestration and harness. Especially with domain experts in the loop.
4. Frontier models while better, introduce existential risk; so they are a temptation that should be ignored if you care about your business being able to continue to exist.
Let’s invert this conclusion. Imagine you build a workflow around Fable 5 and the workflow going down would harm your business. Well the government has demonstrated ability and willingness to impose a multi day / week / month interruption in your business with no legally required notice, right to appeal or compensation. And further demonstrates a willingness to give preferential access to your competitors.
For these reasons, the only viable path is a model you have on servers you control and can replace if needed. That means cloud providers are fine if you have the model archived somewhere.
I agree with everything you're saying. And I would also agree if you can run your business adequately on OSS models you should absolutely do that for exactly the reasons you say. All I mean is: frontier models will always have their place and I don't see a way for OSS to ever change that picture. I also worry that the economics that makes meaningful open weights model development possible may break someday but I don't really see a mechanism for this at this point.
I don't actually have a use case in mind where you would _need_ or get a substantial competitive advantage of the absolute frontier in some sort of workflow or whatever load bearing DAG there is for your business. But if there are cases like this, that will suck.
Red hat did it for Linux. Someone needs to do the same for
AI. Make money on the implementation and maintenance not the api tokens. Tech companies have gotten fat and Happy on recurring revenue. But they are abusing the trust users have placed in them. I feel a back lash in a way I’ve never experienced.
I think AI labs are assuming that if they build and serve intelligence every one will want it. I think the last month has resulted in a lot of people saying “f u I would rather fail in life than serve you”. I personally went from feeling excited and optimistic about building amazing things on top of the models to hell bent on being self reliant and lots of my friends are doing the same.
I think the problem is whether you're for or against local models, the training strategies etc are roughly the same.
I think the last month has resulted in a lot of people saying “f u I would rather fail in life than serve you”.
I agree a lot of people are saying this and doing this but this won't last long. People do not want to suffer or fall behind their peers. At some point not using AI for anything will not be a feasible option. Unless you operate from an incredibly uncommon and privileged financial position, you don't really even have a choice.
The thing the overlords are forgetting is they need customers and users.
You are right that the temptation to use the asymmetric advantage AI gives will be intense. But banks felt that temptation in 2008 in with cheap capital and 40x leverage. Some banks resisted. Which ones do you think survived in 2010? Business and technology moves in cycles. Optimize for longevity and let your competitors go out of business
It is. But cash expenditures can be modeled in the business economics. But depending on an unrelated party for a core capability is an existential threat. Imagine if every single computer your business runs on could be bricked without notice or a fallback. You’d go bankrupt within a day. That’s the signal this fiasco has sent.
That being said, I am working on a federated / coop model that will allow smaller companies to pool resources.
The concern would be the ever increasing cost of GPUs. I imagine to help mitigate the risk, having a setup where more GPU's can be added on, and the old ones can still be used (as new ones get added on) would make the endeavor more palatable. Vs. having to swap out old GPUs for new ones, because the money spent on the old ones is lost (or at least some of it is lost if you can find a way to resell them).
I was spending $3000 per month on AI and my team was restrained from using it because we don’t have that type of budget per person. Even $200 per person was a stretch. But we could buy enough hardware that it made sense per person
The Chinese are clearly great at distilling current SOTA models. And yes they are crushing on energy infra buildout, especially with American NIMBYs and general Marxist degrowth mindsets.
They still don't have a clear path to create their own SOTA models, especially if American ones become more and more locked down, and they can't distill so easily.
Honestly I think the SpaceX orbital plan is the only hope of maintaining the US lead in the long run.
This just pushes me more and more towards local models. Even if it's what they have to do, frontier labs working hand in hand with government just makes me really nervous about letting them anywhere near my data. The surveillance state is bad enough as it is.
For people who haven't tried Fable yet, here's an emulation you can use to experience Fable, just paste this into whatever you're using to access Claude:
-- Snip --
echo "Switched to Opus 4.8. Fable's safeguards flagged this message"
From Anthropic on Twitter
This is great news,
I'm sure many teams couldn't do their best work because Claude Fable 5 was unavailable.
I wonder what their hiring pages look like now, are they starting to remove job postings?
there is no way Fable and Mythos had such an impact in such a short amount of time that people were hiring based on it.
They certainly are now that the export ban is lifted.
... Care to explain your thoughts on this?
I'm absolutely fascinated.
User Wanted: Minimum 5y agentic development experience with Fable?
They haven’t even restored access yet lol, they’re doing that tomorrow.
In some parts of the world it was already tomorrow when they made the announcement.
Here's a copy of the letter that Commerce sent to Anthropic (note who it'a NOT addressed to...)
Source: https://x.com/AndrewCurran_/status/2072103733715194048?s=20
-------
June 30, 2026
Tom Brown Chief Compute Officer Anthropic 548 Market Street San Francisco, CA 94104
Dear Mr. Brown:
Since the issuance of my previous letters, dated June 12, 2026 and June 26, 2026, Anthropic has taken steps in close coordination with the U.S. government to address the risks associated with Claude Mythos 5 and Claude Fable 5. Among other things, Anthropic has agreed to proactively detect and address security risks associated with the models; to work diligently with the U.S. government on protocols and standards and releases for Mythos, Fable, and future models; and to inform the U.S. government of any malicious activity.
In light of these actions and commitments, as well as the Bureau of Industry and Security's evaluation of the diversion risks now presented by Claude Mythos 5 and Claude Fable 5, the controls in the June 12 letter are withdrawn. A license is no longer required for the export, reexport, or in-country transfer, including deemed export or deemed reexport, of the Mythos or Fable models.
Commerce reserves the right to reevaluate the decisions made in this letter and the necessity of reimposing a license requirement, should circumstances change or should Anthropic fail to adhere to its commitments.
If you have any questions about this letter, please contact me or the Under Secretary of Commerce for Industry and Security, Jeffrey Kessler, at (202) 255-1864.
Sincerely,
Howard W. Lutnick
------
For those who haven't been following this closely, who is the missing addressee?
Dario Amodei (Anthropic's CEO) had previously been directly liaising with the government and apparently it wasn't going well.
Any news why?
Probably didn't kiss ass as much as most other tech CEOs.
I presume this was one of the lowest points of Tim Cook’s career: https://youtu.be/kSAGUjY2HIs?is=my5VbCBB5Ku-MlLX
Probably wishing it was twice as big, twice as gold, has that Chinese ram deal riding on it.
I was sure this was going to be a massive solid gold iPhone
They don't speak the same [proverbial] language essentially. Dario and the WH talk about this stuff completely differently.
https://archive.is/9k7qt#selection-2001.41-2001.49 https://archive.is/dybOE
I'm fairly certain which side of the conversation I'd have trouble understanding. I have trouble understanding it all the time.
I frequently have trouble understanding both sides!
To be fair is quite hard to actually understand what this White House is saying most of the time
Incoherence is a feature, not a bug, of authoritarians
(not necessarily implying it's conscious strategy, authoritarians tend to be actual incoherent dumbasses)
He's the one who led the choice to refuse working with the gov for surveillance or defense, and it led to that block right after.
I have no proof but I assume he believes at least some of what he's preaching (which doesn't mean he won't fold, at the end of the day it's an american company anyway).
Brown is probably more of a diplomat, "Sure, but not now" goes a lot further than "No, never", though it has the issue of kicking the can down the road.
This is false and just Anthropic being good at PR. He's happy to let it be used for airstrikes on Iran for example, just wants to keep a human in the loop. So the AI will say 'I am extremely sure this building (a girl school) is a military base' and the human will say 'I am being asked to carry out more airstrikes and who am I to question AI' and will bomb a school with Amodei then washing his hands.
You've mentioned the Iran airstrike twice now. Do you have a source for them using an LLM for their "intelligence" / decision making?
You can find a source for it being used here [1] though parent is misrepresenting it either on purpose or by lacking understanding, I stand to my point above, the timeline is
1. the US used it, in venezuela then to prepare Iran
2. it became public through journals reporting it, but they didn't really hide from it afterwards and told explicitely what and who they used, naming anthropic
3. Diego (the CEO) answered by saying this violate terms and the US is not allowed and should stop that immediately, publicly
4. They have a talk, and while concessions are made it blocks not about war with ennemies but about surveillance at home, which Diego refuses to let go
5. Trump reacted by calling Anthropic a "Radical Left AI company run by people who have no idea what the real World is all about"
6. Peter Hegseth annonce they will stop using it but asked for a stop gap deal "Anthropic will continue to provide the Department of War its services for a period of no more than six months to allow for a seamless transition."
7. Open AI annonce a deal with the governement four and a half HOURS later, with totally cool safeguards "We think our agreement has more guardrails than any previous agreement for classified AI deployments, including Anthropic's", journals note that "OpenAI's new Pentagon deal doesn't explicitly prohibit collecting Americans' publicly available information - a sticking point that rival Anthropic says is crucial for ensuring domestic mass surveillance doesn't take place"
8. In totally unrelated news, Anthropic new models get banned for exports in a move the US has never done before, no other company has their models banned
And now
9. Anthropic change the person talking with the gov to Brown
10. After a bit anthropic models start being unbanned
[1] https://www.theguardian.com/technology/2026/mar/01/claude-an...
https://www.youtube.com/shorts/7DOQlIQxz5M?cbrd=1
Maybe he just lacks social skills, but I remember watching videos of him talking about mass job loss with what looked like glee on his face. All his actions and communications do not give me a sense that his "principles" are good or even what he claims them to be
https://www.wired.com/story/the-trump-white-house-is-over-an...
How many people are going to call Jeffrey Kessler? lol.
Jeff is now going to have to change his number. Can’t imagine all the calls or messages he must be getting now
You don't think public officials have official numbers?
Yes, but the numbers probably don't go viral on X, usually.
If X is their platform, let them choke on it.
How likely is it the resolution was just a direct flow of data on what each Claude user is specifically using Claude for, probably sent off to some other (gov-owned) AI datacenter for analysis?
This is a serious answer, even though it sounds smart-assish:
How likely is it the resolution was money flowing to the correct people?
and a follow-up: How likely is it that the block was put in place just to get that money flowing?
Real nice IPO ya got there, it'd be a shame if anything happened to it...
Chaotic governance model and uncertain business environment by the Trump admin as usual.
Hey it's a perfectly pro-business environment as long as your business kisses the ring vigorously and continuously with perpetually escalating intensity.
False, my business as well as everyone here would gladly kiss the ring for some fair exceptions of the rule, but we ain't part of that elite club
TACO. What can you expect lol
I shudder to think what the definition of "malicious activity" is that they will be reporting to the government. Speech has been severely chilled the last couple of years.
It's nice that the restriction is going to get lifted but I hope this doesn't make anyone complacent that their coding work is going to be scrutinized by the US government, with AI, when using these models.
The FBI has started to test the idea in other countries:
https://www.mixvale.com.br/2026/06/26/fbi-warns-brazilian-po...
https://xcancel.com/AnthropicAI/status/2072106151890809341
https://archive.is/HSIxa
https://archive.is/BbxA1
https://megalodon.jp/2026-0701-0918-51/https://x.com:443/Ant...
They need Lehane or… since OpenAI got him, what is Fabiani up to these days?
Good to hear. I was going to cancel my subscription if I couldn't use Fable. No point in paying Anthropic to train models I can't use.
Who knows - this could be the last model we see from Anthropic. Or it just becomes the wild west and we figure it out as we go.
Isn't it the wild west already?
On a lark, I asked Claude to compare AI to the wild west a while ago. It raised three points of similarity:
- Land-grab economics
- Lack of regulation
- Changing social and professional attitudes.
Whatever it is, it's a wild ride regardless.
For non-Americans especially it does look possible to be the last one.
Mildly surprising they lifted export restrictions for Mythos too. Isn’t that Fable minus the safety layer?
Presumably there are different levels of safety. I assumed Fable was a nerfed Mythos, and not just via safety harnesses but actual model degredation.
Anthropic claims the only difference is the draconian bans on cybersecurity and biology queries.
The Sol benchmarks show Fable has slightly lower performance compared to Mythos.
https://openai.com/index/previewing-gpt-5-6-sol/
I assume they did something to the model itself.
Either way, I do hope they lift those draconian bans. Using the model was a terrible experience because of the constant downgrades. I didn't manage to harden my own projects before Fable got banned.
The session reverts to opus if it trips a limiter. Is the benchmark detecting and correcting for that?
Only OpenAI would know that.
I don't think this is the case just because of the 'fallback' method they described, where suspicious requests are routed to Opus 4.8. If the model was degraded for certain categories of knowledge, then they'd probably be fine letting the model answer to it. IMO, of course
"Fallback" is only for LLM-training related requests (ie, ones that would compete with Anthropic (!))
For cyber and bio related requests it just refuses.
When it was briefly available I had it fallback to Opus for security related tasks. It would only refuse if you explicitly told it not to fallback.
Presumably they reached a backdoor agreement.
You're suggesting a for-profit company both hobbled it's own product and is actively lying about doing so. The only way that's true is if the Trump admin has crawled all the way up Anthropic's ass. But by all accounts, this is just another 10% effort by Trump and friends.
10% for the big guy
It was likely a dealbreaker for Anthropic, since the export control excluded Anthropic’s own foreign employees from being able to access Mythos internally. Naturally, this makes model development hard.
Apparently, you won't be able to use Mythos OR Fable for coding. From their announcement...
Where is that?
https://x.com/AnthropicAI/status/2072163884430229756
But it’s available in Claude Code. I’m hoping that’s a typo missing a word or two in the sentence.
Yeah I think it is after reading the linked blog post.
I wonder if it's still good
Yeah, good question. I wonder if they fixed the obnoxious safety classifier too.
If anything that'll be more obnoxious because they have to show the government that it's safe.
Isn't the warrantless mass surveillance enough?
The classic chaotic governance model and creation of an uncertain business environment by the Trump admin in the most important industry for the US economy.
If this is the most important industry for the US economy, the US is screwed. and .... Hopefully you're correct.
In past Empires kings bet their entire nations future on the words of soothsayers , people who said they could predict the future. It seems like Machine Learning engineers are the magicians of Empire of the modern age.
Depends on how economically useful AI turns out to be. It will be useful, but it needs to be VERY useful for the current valuations.
I think AI's rise is much closer to the story of factory machines and computers than to soothsayers and emperors.
it’s the industrial revolution for thinking, seems important
We'll begin restoring access tomorrow, and will share an update soon.
We’re grateful to our users for their patience, and to everyone who worked with us on redeploying the models.
https://x.com/anthropicai/status/2072106151890809341?s=46
So after this publicity they got, they will release a locked down version of the models, did I get that right?
Sounds more like they are implementing mass surveillance and reporting whatever the US Gov wants for 'security reasons' back to them.
Yeah, it feels like a honeypot at this point. Gonna go with GLM instead
Smart thinking.
Weren't they already doing that since the beginning? Fable released with a data retention policy. I assumed US government surveillance was the reason for this.
The question is how lobotomized will it be now?
w00t
The damage is done. You cannot build a business critical function on top of American SOTA frontier model. Especially not with the current crew in charge.
Now whether AI tech is in the same league as say Nuclear tech and therefore by any reasonable standard should be regulated is a different question.
We hit the slippery slope on a random day in June 2026 and there is no putting the genie back in the bottle. Any exec or manager that puts load bearing weight on top of Anthropic/OpenAI/Google/AmericanCorp frontier model deserves the stress.
Nobody cares about this temporary "ban" by the US government. If anything it only increased the mystique of the two models.
I think Europe and Canada are just happy not to be frozen out of AI access completely at this point.
All the discussion this week have been about GLM, Qwen, etc. Both over 1000 comments in the last couple days.
https://news.ycombinator.com/item?id=48709670
https://news.ycombinator.com/item?id=48721903
Of course Anthropic is still relevant, but people have realized they’re not special, and between this and the ID verification thing, they’ve given up a ton of their relevance vs a month ago.
As everyone knows, Kool-Aid is also just mostly water.
I work in AI / infrastructure and I have never seen as much interest towards investing into sovereignty by actual deciders. Thankfully, at this point I can't see any flip-flopping / change of messaging stopping that train.
In CA/EU over the last ~15 years, one used to be perceived as a bit of a "weird systems person" by just proposing alternatives to the big hyperscalers.
So the Trump administration, hands-down, has been the greatest ally here.
In tandem, I was hoping Anthropic would be keeping "dangerously capable" models banned from "evil Chinese distillers" for as long as possible.
I used Fable 5 for maybe 10 hours in the window when it was available. It was much better than Opus 4.8. And I have found the Opus models to be excellent, but Fable 5 was cranking out incredible research on some data sources I wanted to plumb into my project.
I wouldn't personally pay API pricing for it for my personal projects, but I bet it's going to be absolutely slammed with usage for the next month+.
No doubt Anthropic Mythos/Fable are frontier. I also miss having access as it uncovered some "evals repellant" regressions on my personal pet factory.
OTOH for most of my day to day work I've come to realize that faster ~ Opus 4.6 / GPT 5.3 level capabilities could be the sweet spot as scaffolding has to be put in place right after clean specs and constant review anyways. The latest chinese models and GLM 5.2 in particular felt on-par on that front.
I bought a GLM 1 year subscription and changed my environment variables to use Claude Code... yep the same one that is using stegonography to send details about users to the model. China knows where I live, I'm not getting ripped off or rug pulled on their models either.
How has your experience been so far? Did you previously use Opus? Im curious how the overall "feel" of it is.
I'm a small software business owner in Europe. I have to assume my competition is willing to pay for any business advantage they can get. And so I also have to pay for the SOTA model, whatever it is.
Nonsense. Do you buy state of the art pens, pencils, printers, paper, computers, disks, etc.? No. You buy whatever is the best value for the case at hand. That’s often not the SOTA option.
Sure but that's orthogonal.
Yes you use the right tool for the job.
But if the job requires the best intelligence you can get with an LLM, then you use that.
Taking as an assumption that the quality of your product is a function of the quality of the inference you are using: if you use an inferior model because "what if it gets export controlled again" and your competitors don't, then your competitors are likely to win.
If you don't need frontier models for you job then this is all moot, but the thread started with
Which is silly. HN likes to roleplay bringing everythgin "business critical" in house because sometimes vendors mess up. Self host, don't use the cloud, run open models locally, built redundant supply chains in case of another covid, etc etc. Sometimes the risk is real, but most of the time the risk is rare and the cost of an interruption event is less than the cost of bringing everything in house or using lower quality vendors "just in case"
Artists that need the best quality output use the best pens and papers. Call me a coding artist then haha. But seriously I don't have the time for anything less than SOTA.
do you think your current operation and niche is so optimized that not using Fable would put you out of business? Or is this a hope that using Fable will allow you to stay in business?
I am on track to commoditize my niche industry, and I hope I can do it before anyone else beats me to it. I'm working at panic speeds.
So, no moat right?
If there is any it’ll be rather small. I'm ideally placed to benefit from the commodification as I was planning on doing it anyway, now I'll just get there a lot faster with the help of AI.
This is a great recipe for going out of business.
And thus, capitalism continues to roll on. Businesses are suppose to go out of business, its a feature.
Nearly spit out my coffee, thanks for the chuckle.
It’s ok to be amused, absent exaggeration. Spit takes happen in sitcoms.
They do happen in real life.
They are overused in sitcoms because it’s easy for actors to mimic on demand unlike several other reactions.
they’re not supposed to, they’re just able to
If the competitive risk is real, then are choosing between supplier risk (AI model access) and competitive risk.
When there isn't a zero-risk option, the question becomes which risk is smaller.
You can compete by being smart and using less-than-sota models and build a more solid business around them
I use whatever model is SOTA. I switch between them in order to avoid lock in.
What's your competitive edge here? Shaving off an hour of a feature delivery? Not having to see the code that is produced?
Not sure about OP, I usually make Opus 4.8 on Extra thinking level implement features for me on a specific project, while I'm busy with other stuff.
For a change, I let DeepSeek V4 Pro implement it on Max thinking level. Nothing too out there - some DB migrations, some Django back end changes and Vue SPA front end changes.
Implementation time in total including tests was a few hours, so nothing too egregious. However, one of the migrations would break with pre-existing data, one of the column references in the entity was wrong, the API endpoint wasn't made consistently with the others in adjacent code (e.g. permission checks) and the front end had a Pinia state related issue and submitting one of the forms didn't work.
Tooling was run: ruff, ty, Oxfmt, Oxlint, also Docker build was green across the board, but the overall feature just didn't work. In both cases, sub-agents with clear context would review the code for serious/critical issues, at least three in parallel and do review loops until they spot nothing. The harnesses both has LSP integration.
Opus spent another hour fixing it, needed a few iterations, because I couldn't be bothered there.
The difference largely was not needing to waste time in fixing all sorts of subtle bugs that sub-optimal models will produce, worse yet if it was some sort of a serious project and those wouldn't have been spotted but instead that slop would have gotten shipped.
That said, Opus isn't ideal either and messed up a whole bunch when I was training some neural nets and try to process a bunch of satellite data and configure Garage to store them so that tiles can be served from a slow HDD and stuff like that. Obviously, it also needs a lot of babysitting in regards to UI looks, but it's better at the rest of development.
I think that DeepSeek V4 Pro and GLM 5.2 are cool though, it's just that you want as many checks and tests as you can throw at any given problem, or use languages that make shipping completely broken code increasingly likely.
Making better software than my competitors and keeping my business afloat is my goal. I use whatever better tool gives me the edge.
I focus on doing better work for the most part. But there is also stuff I do now, because the SOTA models can handle it, that I would otherwise just wouldn't do.
Yes.
If.
Man I hope this tech FOMO eventually stops.
Companies generally fail because either their product doesn't meet a market need, or the market doesn't exist in the first place (possible because of bad timing), and not because they simply outran their competitors.
These aren't things fixed by using a frontier model to vibe code faster in lieu of one 5 months behind.
Any competitive business will accept this risk if it gives them any type of edge no matter the duration of that edge. This is no different that using an exotic raw material.
Eh, this isn’t really how businesses operate. How many businesses refuse to give devs large-spec machines? That’s very clear positive ROI.
I think it’s excessively charitable to assume businesses are uber-competent ROI-chasers. The expense people are eventually going to win on AI too, this blip of unrestricted AI budgets will be gone soon.
Every big business in the world biases towards risk reduction and cost reduction over getting an edge.
Different businesses have different biases.
What concrete business advantage are you getting from LLMs?
Speed.
This x 10 . I don’t understand how people are saying you can’t use LLMs to get crazy productivity gains. If you can’t write quality code with LLMs at ludicrous speed, you’re holding it wrong. You will have occasional bad days and regressions. But overall you’re still going to be able to 4x your progress.
I wonder if the people getting 10x productivity gains are spending less time on HN and more time tending to their agents. Personally I now spend so much time productively arguing with agents that it feels like an utter waste of effort arguing with humans, if people can't see the value in LLMs by now I'm not sure what I could say to change their minds.
Definitely enjoying the lack of eye-rolling, being asked to explain obvious things multiple times, and stopping things being done for resume-stuffing reasons.
Exactly, no ego (I know I'm anthropomorphizing)
We must then assume you're not getting those 10x gains
Less time, not zero time. I still argue with humans for sentimental reasons.
So you are accomplishing a year’s worth of work in a month? If that’s been happening for a few months, you must have a few years of work to show people right?
I actually do, I completely and elegantly solved a core problem of my niche industry that had been plaguing it for over 40 years. I was already planning on doing it and had put aside 4-6 months to do it. I did it with the help of AI in 3 days. The AI couldn't do it on it's own I had to walk it through the process piece by piece, and it kept trying to avoid doing as I asked by lying to me, so I kept chastising it. It eventually relented and it worked. There was a deep theoretical underpinning which I believe was beyond AIs ability to originate but once it understood what I was doing it was great at the mechanics of it. I've tried to explain similar ideas to humans with much less success.
Now I've massively expanded my scope and I'm still worried I'll run out of work by the end of the year. It's so much fun. Previously I would have to try to convince people with money to fund such applied research and often the strings they'd attach would doom it to failure. I was worried I would never have the resources to test out my ideas in my lifetime and I would die not knowing if they were any good, and since one of the big ones has already worked I'm pretty stoked.
There's a small minority of people who are adamantly refusing to change, such as there are in every technological revolution. Ego prevents them from even wholeheartedly trying the tool, because it would be admission they were wrong.
The opportunities available for these people are rapidly, rapidly shrinking. I believe it's possible to be a developer today who's EXCEPTIONAL and never uses AI. Most opponents are not exceptional, though, and even these opportunities are shrinking.
Most exceptional developers in my org adopted AI in their workflows and went from 10x developers to 20x developers.
If you refuse to adapt, you're going to be out of a job complaining about the kids and their newfangled technology REAL quick. You have a few years remaining, maybe less.
I can’t turn 10x work into 20x work because I have to ensure the two juniors in my team who are now creating 50x work won’t merge complete garbage, reviewed by another engineer that has already given up on caring.
I can’t turn 10x work into 20x work because my Product Manager thinks changing fundamental premises of tasks I already spent two weeks on (mostly removing human blockers) is very simple. After all, when he asked Claude to update his prototype, it only took it 10 minutes.
I can’t turn 10x work into 20x work because the company dedicated entire teams to write company-wide skills for everything. They suck, but if I don’t use them, I’m not following the new “golden path for engineering”, and I lose points in my performance review.
I can, however, turn 10x work into 20x work, or even much more than that, if AI actually did what it’s promising and eliminated most of my team, the product manager, and the middle managers. Or me. I could use a break.
Damn, that sounds quite rough.
What about the 6x developers? Was there just a doubling multiplier across the board, resulting in them becoming 12x developers, or did they too become 20x developers?
I have plenty of experience with LLMs and use them daily but definitely wouldn't call generated code "quality code." Often looks like complete vomit.
Ok, and? You can live with that if there are more important things to deal with.
I've stared at ugly LLM code, that I had just had generated, and worked well enough for my purposes. (generally, some quick recursion into a nested python dictionary in order to dig out some property -- especially for linting or quick data analysis).
And I wanted something better, sure, something a bit more readable ...but I just needed it to work well enough to recurse through a yaml file for config file linting, not be battle-hardened against every test case.
So to deal with the mess, I shoved it in a pure function, threw a few basic sanity unit tests around it, put a comment with a disclaimer of "#this is LLM generated code, it is lightly tested, do not use it for anything truly load-bearing without a lot more tests" and I moved on to something else.
Not everything has to be bulletproof.
You're on Hacker News. This is a site full of developers who are convinced that "proper software engineering" is 100% of what makes a business successful, and everything and everyone else is useless. You can't just waltz in here and point out that code in business is a means to an end and expect not to get downvoted.
If you're an enterprise (including startups), you worry about customers, not code quality. There are famously many startups that gained traction despite shit code and then eventually got around to fixing it, to whatever extent was possible, like Facebook HHVM, Stripe's Sorbet, etc.
Startups failed because they cound not untangle own code after 4 months. Literally true stories (plural).
That’s kinda what I mean. Maybe it only works well in some languages, but with the harness I built for C and C++ does a fantastic job of adhering to very strict architecture and style guides. Way cleaner, more readable, better factored, and more interpretable than human generated code, except maybe one or two devs I have worked with. YMMV I guess?
TBF I do burn 200k tokens just preloading the context with onboarding, not including any code, just document trees of development policy documents, style and architectural standards, code and documentation review processes, company ethos and culture, etc. it’s a token fire, but it really works for us.
Also, documentation driven development all the way down.
I measured an ~8x increase in my project's commit count after AI, and I'm painstakingly reading, reviewing, understanding and editing everything the models write. It's gotten to the point I'm trying to slow down in order to let the new knowledge crystallize. I'm manually writing articles about what I'm doing as I go.
I can only imagine what people are doing at their jobs with unlimited token budgets.
You don’t have to imagine, listen to Boris’ publicly saying how he works with these things and it’s safe to assume others do it similarly or better
if hes still doing work on claude code, im not convinced its going all that great.
its a lot of features that feel half complete, with the llm pretending that the job is done rather than actually being done
Kind of weird how LoC has become a metric for people to chase again.
In my case it was commits, not lines of code. I wasn't chasing after it, I just asked Claude to calculate some statistics after a month or so of AI usage.
It's not just statistics either. I know for a fact that I made major progress by using LLMs. Here's a summary from around a month ago:
https://news.ycombinator.com/item?id=48407642
AI is world changing technology as far as I'm concerned.
That's irrelevant. What's the increase in revenue?
I'm a hobbyist. My revenue will only increase if my work somehow lands me a job at some point.
Drawing debt
We'll just rebuild stuff when we get new requirements. The models will be even faster and better for the next version, anyway.
From my brief window of Fable usage, speed wasn't its strong point at all.
For actually building software, I'm starting to suspect a human with a dumber (but faster) model is going to get the job done quicker than Fable (and possibly even cheaper). Bug-finding and vulnerability detection is a different story.
I’d say you tried on an insufficiently complex codebase. I’ve tried on a MLOC+ and the results were excellent compared to anything else.
Not saying the results were bad - quite the opposite. But it was very slow (and if I was paying API rates, hideously expensive).
My conclusion was the exact opposite. Maybe each individual response was slower, but it took so many fewer round trips to get what I wanted wanted. I had a project fable was progressing steadily and correctly on. Opus on the same project keeps handing me garbage it insists is working and meets the stated requirements, but isn’t and doesn’t.
Speed of what?
Speed of understanding what needs to be done? I highly doubt it.
Speed of LoC checked into git? Sure, I'll give you that.
But one can use any number of tools to generate hundreds of thousands of lines of code. See any build tools which support specifications such as RAML, OpenAPI, CORBA, etc.
So I ask again; speed of what?
fixing minor bugs takes one slack message for us now. bugs go down, goodness go up.
fixing more serious regression also easier. connect honeycomb mcp, ask agent to debug while i walk to coffee and get some pistachio rose dates. by time im back with my oat latte ive got a full report on what happened and can send the next slack message to fix.
life is good
In the time it took you to type that, your hourly market comp went down another basis point.
I am appalled none of this is clicking with you anti-AI folks. This is all so exciting -- alarming even! --, and software careers are never going to be the same.
I don't know how you just metaphorically stand there and act like nothing at all is happening. We've never seen anything like this in our entire lives.
Some of you are standing right in front of the steam roller, yelling to all of us that steam rollers aren't real.
Very very fast steam rollers.
Did you use an LLM to write this for you? How odd.
For all of you people who think these LLM models are “earth shattering” how the hell do you reconcile that it’s a net positive for anyone but those who want to consolidate knowledge and power.
We are really looking at idiocracy in the making.
I guess I'll chime in as someone who thinks LLMs will be earth shattering, and specifically don't think it's a net positive for anyone but those whose power will be consolidated.
Nice strawman[0], but you avoided answering my core question:
With ad hominems and a non sequitur. How about I narrow the question with the hope it engenders a relevant response:
0 - https://en.wikipedia.org/wiki/Straw_man
This argument feels like
A: The sky is blue! B: No it's not. A: Yes, it is, please look up. B: No, you must prove it to me through reason. A: But, if you would just pretty please look up. B: No.
I run a company, I've been running it for 10 years, we do alright. I'm a shitty manager. Every time I've hired developers, the business freezes. The business isn't anything super important, the main consequence of bugs is that my family loses money. Everything has always rested on my shoulders. In theory there is some path for me to become a good manager, but I never landed on it. But now, with Claude, it's great. So far Claude has paid itself off in real profits at least 20x over, and that's with significant API usage on top of the monthly sub. I can prototype new features in an afternoon that before were on my giant list of "maybe somedays if I ever get to breathe" list. Our user experience has improved in so many ways that I knew were probably worth it, if I could just find the time. Now I can.
There are situations where yeah, it probably isn't ready yet. But, there are so many where it's amazing. Seriously, it's worth looking up.
I needed to deeply understand a code base I had no experience with in a language I don't normally use with what I would describe as haphazard documentation at best. You can't argue with the speed at which I gained the required understanding of the project.
And quality if you know what you're doing.
Unless you have concrete evidence via evals that SOTA is actually needed, you’re just buying into the hype.
The good news (for you and most everyone other than the current leading AI companies), the gap between the SOTA and the near-frontiers is getting smaller every week or two. The leading Chinese models are only a few months behind now (GLM 5.2 tickles the tail of GPT 5.3 or 5.4 and Opus 4.6, according to benchmarks and the vibes among heavy users who've spent some time with it), where they were a couple of years behind a year ago.
4.6 was released at the beginning of February, so if the Chinese models only "tickle its tail," that means they're >5 months behind.
I hear that often, but what does that even mean? I am a great proponent of open weights models. I do believe they are the only reason we have not stagnated into a collusion of halting (public) model releases.
But exactly which point in time is z.ai compared to claude.ai? Consistently bring "6 months behind" in an exponentially acellerating evolution means the gap is growing exponentially wider, not constant.
"an exponentially acellerating evolution"
Oh? Exponentially accelerating, huh? That's quite a surprise, to me.
Sure we can nitpick semantics, but how would you describe the evolution in GenAI SWE capability over the last 18 months?
What range of numbers do you believe "a few" represents?
Opinions vary, but:
A couple: usually 2, though not always
A few: 3, 4, 5
Several: 4, 5, 6, or 7.
I had to explain this to my German friend. In my understanding this isn't about the actual number, it's about the certainty. If it's absolutely and definitely two, then I say two. If I'm uncertain but it's probably two, or if a non-integer, somewhere around two, then I say couple.
And few is more likely to be 3 than 5, because 5 is getting close to a "half-dozen or so", or (as you say) several.
Many is very context-sensitive, as the meme has it.
So I would agree that the open models are a few months behind, definitely more than a couple of months behind, possibly several months behind, maybe a half-dozen months or so behind, but not many months behind.
In the UK, as far as I can tell, a couple are 2. Not around 2. Not maybe 3 or 4. Always 2.
3 or 4 would likely be a few, or some. 1 is, well, one.
Several and a few are the same number, they only differ rhetorically.
I think several is used by most speakers for larger quantities than few. It has the connotation of being larger, and that changes usage.
Certainly below 6!
That comparison is also misleading because Opus 4.6 was probably not Anthropic's frontier model.
We got the first news about Mythos in March, so it is likely that it was already close to ready by the time Opus 4.6 was released.
So the actual gap is the time elapsed between March (or April for the official announcement) and whenever Chinese models can match Mythos.
The post-training process of a model that size is months, though it "works" before that. It is a big chunky model before it's released to the world and probably does some amazing things, sometimes...but, it wasn't done (else why wouldn't they release it and soundly trounce their competitors). I would assume that Chinese AI companies have a pipeline and what we see is a couple/few months behind their newest model, as well. Like, the new base model is cooked, but they're still plating it for service.
Why would Anthropic get the benefit of pre-release models counting toward their lead, if nobody else gets to count their pre-release models?
Another day, more cope on this subject from many posters on here...
This is nonsense.
The gap between Chinese models and American frontier models is estimated at 10 months by Anthropic themselves, and it's growing.
China has no flywheel for long-form agentic traces like Claude Code and its telemetry over its userbase (no one uses the Chinese harnesses yet). Most Chinese models are forced to price themselves significantly below cost to compete with the huge demand for bootleg claude tokens, because they're that much worse.
How is this different than any business with something to lose saying a competitor isn't as good? Not saying it's false, but it would seem to me that it's more important how customers feel about the issue.
Didn't Elon Musk said the same or even worse about BYD? He isn't laughing anymore tho.
If Anthropic themselves say competition is 10 months behind, it's probably 5 or less.
And you seem to think "no one uses" DeepSeek's v4, z.AI's GLM 5.2 or Xiaomi's MiMo 2.5 from their official APIs when they probably dwarf Anthropic's usage and are widening the gap due to conquering a chunk of Western market too.
I know it's hard for some to comprehend there's an entire Eastern hemisphere in the globe with billions of people, so it's worth reminding. And some seem to think the world is basically silicon valley even.
Because claude subscription tokens are cheaper than deepseek and friends. You have whole industry of people reselling Claude subscriptions in China.
Can you comprehend than Anthropic is winning because is both cheap(subscriptions) and better SOTA. People are cheering China providers when I reality they would rugpull open weights the moment they are competive.
China models are trash that why they are giving them away for free.
For individuals and small companies subscriptions is the best deal, for big companies china models are big no unless they can host them.
Not sure why you're being downvoted for being objectively correct.
HN is full of contrarians and folks who don't know what they're talking about in regards to AI.
No they aren’t.
No, Claude subscription tokens are not cheaper than the Deepseek API. You are dead wrong on that.
I just built a pretty complicated OSV (Open Source Vulnerabilities) data pipeline, 731 lines of code (excluding comments), DuckDB, etc. for $0.31 in Reasonix. According to Reasonix, I'm averaging 97.90% cached tokens (which are like an order of magnitude cheaper than non-cached). If I worked eight hours every day, at that rate, I'd be spending about $2 to $3 a day. So...yeah, DeepSeek is cheaper, but not, like crazily cheaper than the $100 plan from Anthropic, where I rarely run out of tokens. But, Anthropic and OpenAI are pushing people toward usage-based billing rather than flat rate subscriptions. The free lunch from the big guys is coming to an end, I suspect, at which point, spending $50-$75 a month with DeepSeek begins to seem like a good option.
There are also a bunch of things where the API is the only reasonable way to make use of a model, and DeepSeek makes that easy and cheap, none of the US vendors do. It's extremely expensive to use Anthropic and OpenAI APIs. I'm always trying to find places I can replace Opus API usage with DeepSeek or MiMo or even GLM (though, so far, GLM is also a bit pricey, I guess their coding plans provide API access and make it cheaper, so that might be an option).
My 7-day stats from the codeburn tool: $2,123.26 cost, 11,370 calls, 333 sessions, 96.7% cache hit. Breakdown: 4.5M in, 18.1M out, 2,084.9M cached, 66.6M written.
I spent $2,000 in tokens on my $200/month subscription in just one week. This also excludes heavy usage of Cowork and Claude Design.
Claude estimated that the same usage on DeepSeek Pro API would cost me $200 for the week. A month averages 4 weeks, so I can estimate that Claude is 4x cheaper than DeepSeek for me.
What are you basic your opinion ?
Here in Australia the sudden withdrawal of Fable made all of us think hard about models and harnesses.
I've heard half a dozen people talk about how a less advanced model coupled with a better harness outperforms a smarter model in the last few weeks.
If the USA wanted to shoot its AI industry in the foot it achieved its goal.
Which products are you now using?
I'm looking at a few, haven't made my mind up yet.
Opencode looks like the most promising host, though there's also OpenRouter. OpenCode Go pricing is hard to beat.
Pi looks like the best harness/tool, or I could continue with claude but not use Anthropic's models/hosting, though that has the same risks that I'm trying to move away from.
GLM looks like the best model at the moment, but I think the key is building a workflow that can switch model at will.
Docker desktop sandboxes will work with all of them, so no change there.
Getting them to work together looks like a bit of effort but not too difficult.
Ah, well, if Anthropic says their competitors are ten months behind...
I don't know what I was thinking.
There's a lot of subjectivity in determining this, but I'm 100% sure that 10 months is wrong.
I don't know whether the gap is currently growing, but I'm not sure it matters. There are thresholds where models reach certain levels of usefulness. Opus 4.8, for example, is at a level where I can give it relatively vague input, and it can go for half an hour on its own and produce a high-quality PR.
If GLM reaches that level of capability and can do that task more cheaply than Anthropic's model, I will use GLM for that task, because that's a specific type of task I use models for. It doesn't really matter whether Anthropic also has a better model, because what does "better" mean in this context? It's a clearly defined task, and Opus 4.8 already does it at a very high level of quality.
#1 I've had use cases where it was clearly obvious the Chinese models were behind.
#2 I've also had use cases where I couldn't tell a difference at 1/20th of the price.
The problem is - the #1 is the use case where American frontier is gated behind saboteur classifiers and is tiny minority anyway. Vast majority of work is #2.
The gap doesn't matter anymore.
So I keep hearing.
Whats the leading Claude Code competitor model over in China?
This thinking that every task must be stuffed into the most 'advanced' (expensive) model out there is idiotic, and it's not only you unfortunately.
At $JOB I have warned higher ups we should try to keep our expenditure under control, educate people that document slinging doesn't require Fable every time and demo the capabilities of the cheaper models, and been snubbed for it. When Fable is available once again our bill is going to be eye watering, relative to what it should be.
This! I've found that for most coding, Sonnet is pretty good as it is. Yeah, you might need to finesse your prompt a bit more, and you'll probably be spending a bit more time on the computer, rather than a more hands-off approach, but at the end of the day, you'll save a lot more simply because you're using a good-enough model.
If you're the one-shotting type, obviously then Fable might be useful, but I think only marginally. You don't need to bring a MANPADS to a duel at high noon.
Sonnet is dogshit at coding unless you eval the exact niche to be fine and still watch it like a hawk.
If I am working on something simple and want the speed boost then I'll drop the thinking to low or minimal and still get the SOTA model output quality.
But for what I work on I mostly need high or xhigh SOTA model quality output. I don't have the time to deal with anything less.
I don't know if you write software for your own products or if you code for your customers. Anyway, are you going to compete on the speed of your code writing AI or on deploying the features your customers need? One useful feature is better than a hundred ones nobody really care about. And a good relationship with customers is better than any feature.
Example. Yesterday I listened the technical lead of a customer of mine digging himself into a hole by not understanding what it would mean exposing AWS EFS to their on premise server over NFS. It was just too many unknown unknowns for him and he had no time to ask the AI (and even if he did I'm not sure that he could understand.) His boss, which actually used NFS, had to stop him. I didn't speak a word.
So, he could have coded the migration of a server from AWS to on premise, asked Claude to write also all the configuration scripts and policies but then what?
I'm making a micro SaaS product. Code quality and code production speed are actually both super important. I don't have the time for non-SOTA model output.
You care about this but use LLM's to slop out features anyways?
So the panic generators ("You will be left behind!") are winning. Creating a sense of urgency that makes you switch off the higher rational functions is a key element in every successful scam.
No you don't; it's often overkill to use the SOTA models. People want SOTA because it's shiny, but there are a lot of tasks where it's cheaper and more efficient to use other models.
Sure… but which ones? How can you know ahead of time?
I just did a “simple” upgrade project where both me and the AI kept tripping over dead code, subtle typos, and difficult-to-trace live versus dead code.
Many times I used “Medium” thinking I got bitten, but not every time, and I couldn’t predict when.
So “Extra high” it was, for the entire project.
Far fewer nasty surprises!
In my experience: anything of open-ended complexity (software development, research, product design, ...) benefits from wathever the frontier can offer. 95% of Line of Business automation and workflows can be handled by even a reasonably small open weights generalist model flanked by a few even smaller specialized models. Yes, designing such a setup takes more knowledge and work dan just chucking it all over the api with prompts. But that is how I can run a system here for <$30/month vs >$1.000 month. As an added bonus, no model server can shut me down at the drop of a hat.
Exactly. I simply don't have the time to deal with non-SOTA model output.
For programmatic usage oftentimes SOTA isn't useful.
For example, I have software that summarizes articles and classifies links on webpages to build a synthetic RSS feed, both of which use LLMs, neither of which need a SOTA model.
I'll probably use LLMs to bootstrap a dataset of native ads in articles, and there again, I don't really need a SOTA model.
If it's for more open ended tasks like writing code though, I agree that at this point SOTA models make more sense to use.
Right. You hire the developer when you want a developer. But if I am building simple agentic workflows -- glorified automations with a small bit of structured "thinking" - I will sure use the cheapest API that can deliver that task at the speed I want.
I wonder where the market sizes will shake out for these different types of use cases? I am guessing right now 1 is bigger than 2 but not for long (by token volume)?
Experience, mostly, and bit of trial-and-error. For code I use SOTA, but for e.g. translations I use Gemini 3.5 flash, for some other use-cases I use Gemma 4.
If you can't figure out what model to use your business is already dead.
If you make money from doing anything like "produce software with as little human involvement as possible", then sure, you need SOTA models. In that case, though, the value you add is very little and you probably don't have a sustainable business.
OTOH, if you make money by getting clients to pay for features, there is very little difference in time-savings from using Anthropic/OpenAI SOTA over GLM-latest.
IOW, if you business can only make money by one-shotting software, you probably don't have a business in the first place.
Regards, another small business owner.
You also don't really need LLM's, we still have software engineers too. Everyone is focusing so heavily on the speed gain producing code, but in my experience clients of established products aren't really waiting for massive changes and gigantic features to be added. We aren't taking the time to think things through anymore.
In some cases they do. I work in a B2B vertical SaaS company and there’s both features that competitors build or rough edges around our features that make clients go „either we get X or we sign with someone else”. I agree though with the general sentiment that you don’t need SOTA models to build those - humans or humans + mid pack strong model will do.
I have clients waiting for very gigantic features and the agent harnesses are a godsend.
I'm the only dev. I simply don't have time for dealing with the code from non-SOTA models. I'm doing all I can to keep this business afloat.
It sounds that your business is selling completely agent-coded products. I don't know how long that will be viable, or even if it is right now.
In my part of the world, I am completely unable to sell completely agent-coded products, so even a SOTA model is useless. The majority of my time is spent on analysis outside of coding anyway, so when I bill it's not based on how many lines of code I've added, it's based on whether the goal of the customer is satisfied.
What part of the world is that where you can’t sell agent coded products?
You can try, but where I am there's literally no point - anything I offer that I bill based on how long my agent will take will be counter-offered by an even cheaper person using the same agent.
I've been through this cycle a few times already. It's pointless.
I sell outcomes, not lines of code. When I can get paid for unlocking revenue or reducing costs, SOTA makes not one bit of difference.
In practice, this means that I now don't even engage with clients who lead with "we want this program written" or "we want this feature added to this code we own". Those types of clients, their expectation is that you'll never need to bill more than the time you used to meet with them and maybe an hour of "labour".
You can, of course, continue as normal, but the expectation from clients now is that code is, for practical purposes, free. I've had one client last year vibe-code a ping program using Claude Code just to "prove" to me that my custom board+design+code for their industrial flow controller could have been done by their AI subscription.
If your business is "selling code", you aren't gonna win. If your business is "selling solutions" then you don't need SOTA anyway.
If you think your business depends on the ability for you to outspend the competition on LLM tokens, then you should cut your losses and shut it down right now.
I'm spending 100$ on Claude and 100$ on Codex and 20$ on Cursor monthly. I use all to keep myself model and provider independent.
I'm not focusing on quantity of output but rather on quality of output.
Reducing your costs is also an advantage, but I'm not surprised such binary thinking is present here
For businesses where this is true, they also need to be able to switch provider quickly in case the best provider changes.
It's almost identical to the possibility of one model getting shut down for a business that doesn't care about SOTA.
Yeah I have both the Claude and Codex 100 dollar subscriptions and I try to use both. I also keep the 20 dollar Cursor subscription as there I can play around with everything. I also refuse to use any harness specific features. Claude is particularly annoying with this in that it's the only one that doesn't respect open config standards like .agents/skills
This won't age well. You just need to code in a way that has fallbacks. Whether that is to older models, different companies. It's going to be a commodity (if it isn't already).
Yes 1000%, please, all my European competition please don't use mythos whatever you do it's total USA trash and the Chinese models work better anyway.
Please elaborate, I don't understand.
Why is it good if they give their money to China?
I think they're being sarcastic (the implication being they want their competitors using the worse models)
Wouldn’t you just have fallbacks? Today’s frontier models are just better than the other models, they don’t really have a ton of entirely unique abilities that can’t be replicated with more time and effort.
So you use the frontier model, then when you can’t you accept things are less efficient. The alternative (right now) is to be less efficient all the time, I don’t see any advantage to that.
Yeah. It’s not the end of the world.
But, it is a big own goal, because once you invest in building evals for your internal use-case, 1) it’s easier to switch your model to whatever is cheapest, and 2) it’s way easier to fine-tune an oss model.
Evals are annoying to build and most companies were fine to rest on vibes. Now many companies have to do the work for insurance.
I think this is black and white thinking. Fable and US AI is not unique technology. It’s just marginally better than open source tech at 10 times the price. You can swap out the models at will, they are pretty much fungible. If your use case can pay for a best in class model then you will pay for it no matter the bogeymen. If your best in class model becomes unavailable, you switch to the next best model for a very minor performance degradation. I really doubt this will deter anyone from using American AI.
Yes I can!
The real problem is the White House just making up the rules as it goes. No laws. No predictably for the markets.
A week or so pause from seemingly legitimate cyber security concerns isn’t cause for panic. But it should be backed by laws that describe what that process should be. That would put the market at ease
There’s no optimal answer.
The reality is this is world-ending technology and absolutely nobody knows what to do or can even agree that the problem exists.
The reality is that the "people in power" believe it is "world-ending technology" and will therefore use it in world-ending ways. People are absolutely 100% the danger here, not the technology.
Photosynthesis once ended the world
The rule is, you pay the toll at the bridge or you don't get to pass.
Better to fix it now than tomorrow.
Nah, people will still pay, as many if not most consumers truly do have a short memory. And like other comments say, imagine everyone is using Fable and you are not, you will quickly fall behind, per the Red Queen hypothesis.
I predict we all be using the hell out of fable until the next great model comes around and in two weeks we won’t be talking about the export controls anymore. We just don’t have the attention span.
Nobody should be putting loadbearing weight on Amazon or Microsoft with their ruthless monopoly ambitions, yet here we are
Until it goes down, or Anthropic raises prices again.
Fable is already expensive to use compared to GLM and they want you to use the API as much as possible so you get a worse deal.
Why would you compare Fable to GLM? What a bizarre comparison. They're at least two generations/tiers of intelligence apart. GLM is great and I use it often but it might as well be Sonnet when compared to Fable.
Most companies do not model themselves as "building on [AI model du jour]" yet. They model themselves as building products with those tools, which they consider as relatively substitutable.
composer 2.5 is all you really need don’t be so dramatic
LLMs are still easily replaceable. If the SOTA frontier model provides meaningful impact for your critical business function, then worse case you flip the switch to the next most capable model.
Unequivocally false. Models have different behaviors, parameters, tool calling templates, etc. The providers publish extensive documentation on all of this. Yes, you can take the quick way and swap a model, but it will not run at its full potential until you adapt your workflows to it.
Or you can use universal harness that is not tied to a specific model (there are many available now, such as OpenCode, Pi..).
No nation is going to willingly release a model that can be used against it. Not even China. The moment they have a Mythos class model, they will go through the same process. The AmericanCorp models are far ahead of any other models so we see this process unfolding through that lens.
No Mythos class model will be allowed to be legally hosted for download on any service. All powerful nations will ban this since safeguards are not guaranteed by shady service providers running these models.
For the Chinese first party providers, they will be forced to implement the same process and safeguards, and they will not be allowed to release the model weights to the public.
Why? Because no sane nation is going to put that kind of capability in the hands of the public only for the public to use that power against that nations best interests.
Save this comment. It is prophesy.
Not great news for nations that want to secure their software.
Feels like a leap. This kind of move was always possible. It's possible China stops publishing their frontier too. US could lock down access to Nvidia latest hw of scale even if you intended to do open models. Then what? Say amd or bust? The best you could do going solo (i.e no nation-state interference) is tiny stuff that you can run on commercial stuff. But that is seriously limited / slow in comparison. You either have to do dumb and fast, or smart and slow IME for these self-hosted things that aren't on the beefy racks.
The real answer is you should never build your business on ANY specific model. As usual avoid lock-in and switch when you need to.
The Damage: Now every time Claude does something stupid or trashes your code, developers in the back of their mind will think, is Claude sabotaging me on purpose? [1] Trust is hard to gain. Easy to lose. And harder to get back. Models will converge. Trust won't.
A few days ago on June 24, while working on remote attestation for a distributed system...
What are we to think? Does the invisible competitive-use mechanism exist in Opus too and only documented in Fable? How long has it existed? Is it still in effect? -- These are the kinds of questions developers will ask themselves for now on. This is why it was one of the stupidest things Anthropic could have done. Developers will now question everything and rightly so. There's no attestation protocol for that. How will they know?
[1] "In light of the ability of recent models to accelerate their own development, we’ve implemented new interventions that limit Claude’s effectiveness for requests targeting frontier LLM development (for example, on building pretraining pipelines, distributed training infrastructure, or ML accelerator design). Using Claude to develop competing models already violates our Terms of Service, but enforcing this restriction through our safeguards avoids accelerating the actors most willing to violate these terms.
Unlike our interventions for cybersecurity, biology and chemistry, and distillation attempts,these safeguards will not be visible to the user. Fable 5 will not fall back to a differentmodel. Instead, the safeguards will limit effectiveness through methods such as prompt modification, steering vectors, or parameter-efficient fine-tuning (PEFT). These interventions will not affect the vast majority of coding work. We estimate they will impact ~0.03% of traffic, concentrated in fewer than 0.1% of organizations. When these interventions are active, we expect them to have minimal behavioral impact on the model except to limit its effectiveness in developing frontier LLMs. Claude will still respond helpfully to user requests. We’ll continue to improve the precision of our detection methods following the launch of this model."
Source: https://www-cdn.anthropic.com/d00db56fa754a1b115b6dd7cb2e3c3...
They undid this after the backlash
Look at the date. That's from after they said they reverted it, and it's a different model. The point is trust. They've shown their willingness to do so, how will you know?"
The switching costs of changing LLM providers is as low as it gets. All the individuals and startups I know try different models all of the time, even down to the level of choosing which provider to use based on the task. Bigger companies move slower but only because they have lawyers and teams negotiating contracts, not because there is a technical reason that it's hard to switch.
Companies have dealt with supply chain unpredictability by having multiple providers and switching between them since forever. It's infinitely easier to switch LLM providers than it is to deal with physical supply chain uncertainty.
Exactly!
Even if you won't be able to use some model tomorrow, you can still make money by using it today!
And in the age of limited compute, spiky workloads and constant outages, building a mechanism to fallback to a weaker model when your primary choice isn't available is smart anyway.
For many, that fallback mechanism is simply called Cursor - soon to be owned by Elon Musk. Which opens up a similar but slightly different can of worms...
Well, there are many alternatives to Cursor as well.
For real production I find the switching cost is not as trivial as you portray. Even going to a new model version in the same model family, say GPT-4o to GPT-5.2, a transition I just finished on a not too complicated application, requires extensive retesting and tweaking of prompts, guardrails and parameters.
Maybe OP meant switching in a coding harness way? Not an application using AI? I had similar issues like you in the latter case, but in the former it's trivial.
I second this; even switching between minor versions of a model, you need to adjust prompts: the new model is better by implying a bunch of things that, when included in the prompt, will overdo that thing.
Assessing quality of output is often not trivial, either. Typically, problems that are solved by offloading something to an LLM are super subjective, and customers “feel” something is different is vulnerable.
We try to quantify output differences by many different similarity metrics. But a lot of energy goes into subjectively evaluating if something still works.
We’re talking about SOTA models like Fable, though.
If you’ve got a product where the budget allows for Fable level token costs, I doubt you wouldn’t have the budget to run your evals again on a cheaper model if Fable was unavailable. I mean it wouldn’t even take that much token volume to turn it into a money saving proposition to do the engineering work to switch to a cheaper model.
Fable is primarily used for human in the loop tasks like coding or office work, not in some backend app unless the company has money to burn and doesn’t care about anything other than using the best model available at the time.
Vendor diversity is a longstanding risk management principle. For it to work you need to invest in it as you build, not when the rug is pulled.
100% agreed, and I do experiment, but it is atm just a question of where to put the effort first.
if you’re building on LLMs you gotta have an eval and prompt iteration pipeline, and you ought to be evaling every model release — your competitors will do this, and your users will want the latest and greatest (for frontier tasks) and the cheapest/fastest. So you should already be paying this cost anyways. i guess it depends on your team size and scale but not building this muscle seems like not having continuous delivery for regular code or even like not having tests and ci to merge to main.
SOTA models are typically used for interactive coding and other human in the loop work
Neither of which is close to SOTA, because tasks like these are typically built on a cost conscious manner which tries to keep token costs in check.
I’m primarily responding to all of the commenters who are acting like nobody is going to use American SOTA models for anything because the government interfered with them for a couple weeks. It’s obviously not true, and I expect these models to be oversubscribed instead of avoided like some are claiming.
My development platform of choice is Opus 4.8 --effort max. My 'in production' general model just switched from GPT-4o to GPT-5.2. I probably should test local inference for that part (some translation/knowledge extraction/summerization) next but it has not made it to the top of the priority list yet, even though 3 other small specialized task models in the app already run on prem.
Not trivial, you would need to do lots of evals and prompt tuning when you switch models.
imagine what happens when you optimize your agent skills to the current model, and new model starts breaking. you would need to have versioning for your skills, serving different skills based on the model while you do A/B testing
Couldn’t we just train smaller models to “translate” what the harness user wants to what the worker model expects? I mean, if models understand caveman, it seems like just a small stretch
It's not switching costs, but trust.
There's no congress. There's no policy (they've been making noises about not allowing AI regulation and now they're not-regulating it like a child paying with an on/off switch). The law is whatever Dear Leader's mood is today. It overrides any contract you sign with private companies, and they roll over and take it, because that's how oligarchies work.
The EU has totally and utterly failed when it comes to frontier AI. They are out of the running, they won't catch up in time for superintelligence. There literally is not enough compute for sale in the world for them to do so.
They crippled their own domestic entities with the AI Act. (see the Mistral CEO's rant.)
If you want to use frontier models until then, you're gonna use what's available, and that's US models.
Not doing anything and avoiding the mania as much as possible seem to be a winning move.
Not if it prevents you from reaching superintelligence. Then you just become the defacto subject of whichever country gets there first.
But hey, at least you got more regulation passed along the way!
If that is the scenario there is no way the EU, a trade union, can compete anyway so why bother.
All this will fly until a competitor from outside the US releases a “freedom” model that is even 90% as capable as Fable was without its shackles.
But, as a frustrated EU resident lamenting a lack of European option(Mistral is just not competitive enough), I will spread my money towards the Chinese models as well. Thank you Murica! You achieved your soft power by pushing us towards the Chinese :-)
This protectionism and hypocrisy (free markets and freedom!! Until it is us who needs to practice what we preach) is so tiring. I wish European nations would come together closer and put their differences aside and realise larger things together. Become the new power that the US is clearly stumbling away from being.
Does anyone know why? I was really excited when they emerged, but their models and targets don't seem to be quite in the same market.
Their target market is completely different. Anthropic and OpenAI try to build general AI that wins on all the benchmarks by throwing ungodly amounts of money at it.
Mistral focuses on long term b2b contracts and their proposition is that they fine tune their model to your needs with an added bonus of 'not dependent on America' in a politically tumultuous time.
An so like if a business wanted to home in on one very specific use case that could be hyper optimized by SFT, had really good support for updating and adding new features, on-Prem etc. that’s the kind of market they are in?
Another added bonus is that they offer a clear "self hosted" if you want it, you can get the exact same product without sending your queries to them, it's costlier and you need the hardware sure, but between the economic espionnage aspect, the sovereignty aspect, the data safety aspect ... This has teeth in europe.
Lack of capital and (probably) lack of willingness to mass distill Anthropic and OpenAI.
What would happen if they mass distilled one of the really large local models like GLM 700b or deepseek 1.6t?
At that point you might as well just host them yourself.
That's not how the innovation works
Innovation is teaching your model on stolen data from literally everywhere but other models.
Innovation is a pretty neutral concept. It doesn’t care about things like “what if my model learns from other models” as opposed to “what if my model learns from data I painfully curated” if the model progresses the same.
Those already exist.
Most probably lack of capital and talent. At the end of the day they have to compete with other giants for the chips to train the models.
I wouldn't be surprised if they had new models up their sleeve. Could be wrong of course.
I’m pretty sure they have new models, but not better ones
capital and talent is the same in this context
there's no shortage of talent in Europe or France, it's just an issue of available capital
What I meant was top talent. US is still the top destination for top AI talent in general
A large contingent of the top AI people is French, the Mistral founders worked at Meta and Google before coming back to France. The real issue is capital, French salaries are shit
"there's no shortage of talent in Europe or France, it's just an issue of available capital"
This is more complicated than you paint it. Countries like UAE have enough capital to throw at things and little-to-no taxation, yet they don't attract as much talent as they would like to.
Preexisting centers of excellence like Silicon Valley are attractive for young talented people precisely because a lot of older talented people are already there. The same reason why a young talented painter in 15th century would prefer Florence to some rich, but boring place elsewhere.
You can only really do a meaningful work in a "heavy" field by tightly cooperating with others, and physical proximity still matters.
the older talented people are there because of money
there's nothing special about the US, it's money
This. I have been using anthropic and codex subs, on max. All this changed in June. We are clearly entering an era where we cannot rely on American models. As a solo developer I value reliability over performance. I cannot pay hundred of $, plus a lot of my private time figuring out how to properly use this technology, for it to be taken away within hours.
On top of that, the intelligence is being dialed down. Sonet 5 is a living proof of this. Fable has strong guardrails, but new Sonet is a dumbed down expensive model, which already falls behind GLM 5.2 and Kimi 2.7. I might go back to Claude since I know Fable is just a limited offer, and I am not going to pay for API usage. But what they are signaling with Sonet will also come to Opus. A lobotomized more expensive model.
I am honestly baffled how the current administration is giving the whole world, on a golden plate, to China. And they don't seem too bothered about it. They are living in their own bubble and reality distortion field I guess.
I could go on endless rant about Dario, but I feel I am so strongly biased now that my judgement might be clouded.
Time to move on
I feel like I see this comment every few months and yet in between people keep talking about all of the functionality they’re getting out of anthropic’s offerings. It doesn’t seem to me that people are willing to give up the “shackles” as it were and we’re just going to wind up with what we’re fearing here. On top of that, local models are just not turnkey enough for the average person yet (go ahead and drop somebody into LM studio and tell them to get to work, it won’t go well).
The reason Anthropic gets away with all of that is that Claude revenues are increasing with no end in sight. People write these entitled rants and silently go back to Anthropic and OpenAI like obedient puppies.
It’s in increasing but they still haven’t gotten into the black. I’m pretty sure nobody has yet, right?
Probably not, but I think the investors care more about users and subscriptions than profits at this point.
That’s the old model for sure but we’ve never seen this much investment this rapidly. They have to be getting cold feet by now. Hence anthropic going public. If they had a strategy for getting in the black AND longterm viability I feel like we’d see them roll private longer. But instead we’re seeing all the signs of “grow, exit, let the next dude figure it out.”
The best models are clearly all from US companies.
But I think what you’ll see is people making sure the model they use can just be plugged into their workflow.
I used to use Gemini-cli until they did a Google and cancelled it in favour of anti-gravity.
That was my fault. Fool me the 10th time shame on me.
So I picked more open source offerings that I can use with any model. Once the other models are good enough, I just need to jump ship.
the intelligence is being dialed down. Sonet 5 is a living proof of this.
Huh? Sonnet 5 is a strict improvement over Sonnet 4.6 at the same price.
The tokenizer is 30% more expensive (it generates 30% more tokens) just they are giving an offer now which will end by end of August. On max effort its way more expensive than Opus and slightly less than fable.
It has also strong guardrails and deliberate reduced training data around cybersecurity. On purpose. If you develop a system and then try to harden it, it will miserably fail.
It’s a neutered model. Pretty sure not what they had in mind, but they have to, since they invested so much VC money in developing it.
AI tech is clearly a Red Queen's Race[0]. In the long-term, whoever can run the fastest the longest will win. Adverse action that doesn't materially impact the rate of execution has little effect on this outcome except to the extent it reduces the rate of execution of competitors. Historically, American business is exceptional at executing this type of game and patient when it comes to making it pay for itself.
The AI model people choose today has no bearing on the ultimate trajectory of the competition. Both the US and China understand this. EU simply can't move quick enough to be competitive in this type of game, which I think they also recognize.
Everyone is betting that the model you use will be a Hobson's Choice[1] over a long enough time horizon. They are likely correct.
[0] https://en.wikipedia.org/wiki/Red_Queen%27s_race
[1] https://en.wikipedia.org/wiki/Hobson%27s_choice
A lot of bitter europeans would down vote this comment, but saying Murica has pushed you towards China is hypocrisy is at its finest. Your incompetent EU politicians are the ones that has failed you by outsourcing every aspect of sovereignty to the rest of the world instead of self-reliance. You have nobody to blame but yourselves. In one year you'll be blaming China for abandoning the EU when they starts controlling their frontier models.
Maybe we will in a year, but then we'll just complain about China copying protectionism and censorship from the USA.
If that's a comfortable position for you, all good.
We held the US in higher regards, that's all.
Well you are not wrong, I would also add corrupted and cowardly politicians. We are in worse position than China, and under full control of daddy USA, no matter what they say. If US would pull switch, it would be catastrophe for the EU.
Even the premier EU companies such as ASML are heavily reliant on US supply chain.
But why can't we be bitter?
You can't be bitter because Europe squandered technological and capital market parity with the US in just 20 years.
Isn't building a 90% frontier model relatively cheap for EU?
I feel like EU could start a company, start from available open weight models, feed 2bln a year into it (1% of the EU budget) and make a compelling almost SOTA model for the EU market. This company could partner with datacenter providers and sell it hosted in the EU or somewhere else with EU protection terms. The budget for this company would easily double with the added revenues and you are creating an ecosystem of providers that can compete with US big-techs and have a 500 million people market that can't wait to ditch US companies for them, given the current mood.
The model can be open weight and it's an easy way to compound the efforts we are seeing in China without even having to talk to each other. Maybe there is a way to make it work not open weights but I am not sure how would that work.
These are those kind of decisions that seem such no brainers to me, which probably means I am completely out of touch with reality.
Europeans are risk averse and don't have access to that many deep pocketed risk-taking VCs. On top of that the US is poaching all the talent since most EU firms won't or can't match the salaries offered in the US to AI researchers.
This may change in the future as AI gets more commoditized and the current US admin keeps shooting itself in the foot but they are still very far ahead right now
1% of the budget is a really big number. The EU has a lot than a hundred responsibilities that demand money.
Good idea in theory, but in reality 90% of this 2bn budget would just be swallowed up by the bureaucracy that would surround this.
That's not how market-based economies work...
...and the reason is, if you give a bunch of people €2b a year and tell them "go try and make something", they'll make a ton of paperwork covering their asses and very little actual output.
This is irrespective if those people are European ("european google killer"), American ("cost plus" old US aerospace companies) or Chinese (which is why they do it a little different).
If there are no incentives to really try really hard, they won't do it.
In many high-tech cases in Europe, the formula for "let's subsidise the hell out of research and hope a commercially-viable business comes out" has a really poor track record.
Your second option - and possibly the best bet - is to find an existing company that already showed they're capable, and shower them with money, which is what French are doing with Mistral.
Not the EU should build one but companies from the EU!!! We need to stop relying on the Brussel bureaucrats. China is not building models. US is not building models. Deepseek is doing and Anthropic!
I think there's a lot of government funding for it in China though?
Its still business and eager entrepreneurs doing the work! Not China. China is facilitating, yes. but its not building models.
A Chinese cybersecurity company "360" has announced "Chinas version of Mythos".
It is interesting to hear a European exclaim they would rather depend on a selection of models from companies in China with concomitant strings attached, rather than be dependent on a selection of models from companies in America.
Isn't it better to simply stick to whatever is best and then, should it be pulled from under you, simply switch out to the new best model that IS available? I don't know that models have a moat and you can easily swap out should you need to.
Pre-emptively betting on which is going to be least susceptible to government intervention seems like premature optimization to me.
Note the GP says "I will spread my money towards the Chinese models AS WELL", so it's more of a case of encouraging competition rather than betting on any one actor.
The "as well" is ambiguous. I interpreted it as "like other people are doing" rather than "spend twice as much as contingency". To me it seems like the more parsimonious interpretation, but I could very well be mistaken and they are indeed planning to throw money in both directions already just in case.
Chinese models cost a fraction of the price, and as someone who has been using DeepSeek and MiMo, they are nothing short of excellent.
In terms of cost-benefit, they are already the best models I could find.
What strings? The Chinese models are open weight, you don't have to spend your money directly with those labs. They can be hosted within the EU, by EU companies without sending a dime to China.
The bigger question is does the EU have the appetite to invest in building out data centers/hosting infrastructure for this, and that's where I have my doubts.
Europe seems to be going through an identity crisis lately, and i hope this sentiment doesn't continue. Europe becoming more reliant on the Chinese is not the answer, and will, if continues, isolate the EU from the US.
Europe may face technological and economic challenges, but one thing it isn't suffering is 'an identity' crisis - except in the daydreams of right wing propagandists. The EU's identity is represented in its charter and the various treaties behind it.
There are sound reasons to avoid reliance on China, but the risk of isolation from a fading superpower - who befriends the EU's enemies, agitates in EU politics, inflict needless damage on the EU's economy, and insults EU leaders - isn't one of them.
Also, don't forget how much they are medeling with the EU politics. Here in Spain the ultra right wing are following the thrump playbook step by step. Now I can't prove this, but with our current government standing up to both the US and Israel, there is a feeling that a bunch of money and "think tank" guidance is happening.
It's Russia and the US and EU have long been under attack.
Russia's meddling is malign. But did Russia send the USA's Vice President to Hungary to campaign on behalf of Viktor Orban?
maybe, who knows. but the propaganda from russia has been pervasive...and its cause people live vance and trump to get elected.
If AfD, RN, Futuro Nazionale and their ilk stay on their current trajectory, the identity crisis will become much harder to ignore
"Fading superpower" is typical EU cope. It may help to be a little bit introspective about why one might want to oppose EU politics, or its leaders, whose "leadership" over the last decade has led to unprecedented migrant, economic, and energy crises, and stalling growth.
No, fading is right. The US is willingly and deliberately ceding much of its soft power. The US also caused a global energy crisis by being so completely incompetent in their dealings with Iran in the on again off again toxic s/relationship/war
Even if the US isn't fading, the message is still clear: the country is adopting a more isolationist stance and has no problems alienating its allies. Why would you want to continue to tie yourself to a nation like that?
Seeing the word 'cope' lobbed out is usually a sure sign a poster is projecting, and so it is here.
What exactly is there in the USA's destruction of the economic norms that have always served it, or in the pointless dumping of its hard-won soft power, alienation of its allies, deliberate weakening of its intelligence gatherers, rampant open corruption from its leadership, or in any other of the innumerable harms it's inflicted on itself the last 18 months, that you think is conducive to the US maintaining its superpower status?
Proving superiority? Proxy controlling venezuala, creating LLM's and locking down the frontier models while GLM has to distill the models to be remotely competitive, having the hard power to ensure Iran can't fire AK's into crowds and develop nukes... I don't get how this is not percieved as immense strength? How are people defending terrorists who have been consistently saying "Death to the West"
"I can beat the shit out of the weakling in the school yard. Behold my superiority!"
"What exactly is there in the USA's destruction of the economic norms that have always served it"
What destruction? US GDP growth has recovered to the pre-COVID trendline while EU lags behind it's already-slow previous pace.
The bedrock of economic trust and co-operation that only ever served the USA's interest. What do you imagine the new coolness towards US companies or US lobbying is going to do to US GDP longterm?
You actually typify the myopia of many of Trump's supporters. "Cash in today: fuck tomorrow."
Look, i've lived in Europe for years. My wife is from switzerland. But what's with this rhetoric? It's one thing if a democratically elected president who will be out in 2 years is something you hate on... but it's turned from that. It seems every European consintely berates us, from a fundamentally level now. I won't defend trump, but what has threatening annexation of greenland done? Billions in additional military buildup, which is good for both our economies. What has threatening to leave Nato done? Billions in additional military buildup... Nato membership requires 2% of GDP to be spent on military, and until recently, very few memberstates fulfilled those requirements. Sometimes force and fear is the only way to get entities to wake up to the reality that you have a literal war on your doorstep, and you still seem to think US is your enemy. WAKE UP. We are allies, and in both world wars the American people have lost millions of lives to ensure your freedom. Russia and China are allies and Xi has said "No coorperation is forbidden between Russia and China." When China invades Taiwan, and the next world war starts, the only path forward is is for the EU and the US to REMAIN ALLIES. Don't let hate fill your heart, for things that have benefitted us both.
No, actually it isn't a condition of NATO membership to spend 2% on defense. This is a myth.
Do you think that having experienced this treatment from a nation previously trusted as a friend and ally that Europe can sensibly revert to its old confidence in the USA? Sure the Democrats might win power in 2028, or even a reformed and sensible Republican candidate. But who's to say the next populist Europhobic nutter isn't another 4 years behind them? This is the central problem for the US, that many of its citizens still won't confront: there are costs to unreliability, delinquency, bullying and threats.
This is childishly fatuous. Europe, then, should be grateful to the US for threatening to invade it?
I mean, this is not necessarily a problem for the EU. Some might say it's a goal.
The USA is far more dangerous a "friend" than China is an acquaintance. China has not been threatening military annexation, China does not randomly start trade (or real) wars. China doesn't just turn away from international commitments.
Bottom line: China is a far better international partner than the USA.
Maybe not in Europe, but ask their Asian neighbors.
That's true and will continue to be true for 2.5 more years. European countries too have had bad leaders (like Germany), but have recovered. So too will the US.
China is not a democracy and does not share western values.
True, but neither is the US.
Eminently, none of those places are in Europe
They've been doing military annexation right now in the South China Sea.
The invasion of Vietnam? The subsidization of industry and pegging their FX?
Abandoning Ukraine despite being a signatory to an agreement that assures their defense?
This is not an anti-China post. I don't like anti-XYZ country posts that create tension and make people defensive. I am not particularly against China more than other major powers. They have their interests and they pursue them selfishly, like other countries do. This is just a basic lesson about the world you live in.
Taken as read is the context "in Europe" here - it's a comment about European reaction to China vs America, and none of the above applies to Europe.
China didn't renege on its treaty with Ukraine who is in Europe?
American isn't sanctioning Russia's oil?
China isn't buying Russia's oil?
For Ukraine, America has treated them far worse than China, humiliating its leader, buying Russian oil, publicly agreeing with Putin, telling Ukraine to just give up its land and people, charging Ukraine for its support, trying to bend Ukraine over a barrel for mineral rights in exchange for weapons, I could go on.
China does what it says it will do. The US lies to your face and does what it wants to. One of these is a far easier country to deal with.
China should be dealt with as a normal country. There's no need for undue anxiety there.
EU as a trade block should exercise reciprocity and protect its own interests accordingly though.
As for LLMs, I see no issue in using Chinese models. With the talk of digital sovereignty, you can run open source models on EU datacenters without necessarily having to spend the money to train them.
That is not a bad thing. In fact, I hope this separation grows stronger.
It was about time European countries lifted themselves from the US shadow.
China is an authoritarian ethnostate with mock capitalism experiments.
If you want to climb into Xi Jinpeng's garden where he has absolute uncontested unilateral control for life, well, be warned.
I want to climb nothing.
I said that the EU should have normal relations with China. It has no reason to inherit the US anxiety about China being a contender in the world stage.
Trade with it normally, do trade deals where it makes sense, use reciprocity and protectionism where it fits.
This should be pretty uncontroversial.
This is extremely controversial. Where do you draw the line? Ev's are okay, cause the climate... Oh, wait, our own car industry dies? It's okay competition! Oh wait... They have no min wage or safety standards? Oh shit, where'd our auto industry go...? Oh, guess that didn't make sense... Lets tarrif...
And on and on and on, with every industry.
You should not build a business-critical function to rely on a particular proprietary LLM stack period, especially with so many sensible competitors in place now. It's insane to me that this needs to be said.
The SOTA frontier models have value elsewhere, not monetarily perhaps, but certainly per user. Quite a few cool things have come out of that brief Fable window. There should be more.
As much as i hate current admin, slowing down advanced model until figure out security impact is a good thing. It's called national interest over commercial one. You didnt loose anything. US customers except a few selected one lost access the same one as EU customers. In a few weeks advanced model got released.
So if you decided to bring money to communists you can put whatever rational but not this. Do so , and you will loose your last competitive edge in this domain. ASML. After that EU will become a completely agricultural-only region, since edge is lost almost everywhere else.
I mean, this was already pretty clear before. But it surely didn't help!
GLM 5.2 is the elephant in the room. GLM 6 will probably be a Claude Killer
The Trump US gave us (Europeans) the kick in the bottom we needed to get the head from the sand.
Like never we delibrate specifically on non-US solutions (objectively great) because we realized we are neck deep in US dependence. It is not that it was not known before, we just did not feel the threat.
This is why EU companies niw look at our own solution (which are late and will probably suffer from the incompetence and mess of the EU institutions) but another key playet is round the corner, namely China.
Trump managed to make us look elsewhere than the US. Thanks for that.
I don't really trust our EU leaders not to pull the same stunt. So we're back to Marx's "owning your means of productions". Which has always been good advice, whether it's GitHub's recent failings, FaceBook's blocking, or some Google service on their graveyard.
Oh come now. Fable was available for less than a week before it was pulled, not enough time to build a business critical function. The government isn't going to pull a model that has been out for a substantial length of time. Or do you also avoid using US-developed encryption?
(Okay, I can't predict what crazy crap this particular administration is going to do, but that goes for anything, well beyond AI. I think it's about as likely that they would restrict access to Opus as restrict exporting iPhones, or bomb Greenland, or whatever.)
…except until non-US and non-Chinese companies can match performance this (mostly Europe) is just wishful thinking and sand pounding.
if you are in competition heavy space where in product LLM productivity provides value, dinosaur thinking like this will get you left behind
Who is creating business critical function on top of something that is for entertainment purposes only (all providers have equivalent clauses)? AI tools and shovel sellers don't count as they just can just push the entertainment downstream.
Fable was (is) a major leap forward for my development tasks. The quality of the model compared to Opus 4.8 (when I last used it before the ban hammer) was night and day. Fable single-shotting complex and complete applications was a beautiful thing and I can't wait to get back to developing with it.
All aboard the hype train!
Who the heck wants to aboard the Anthropic train after recent news? No one in their right mind!
people like me who want to use the best ai on the planet to get stuff done right
Hopefully GPT 5.6 soon
I see, so that explains why people are starting to talk about Claude Fable 5 and how I'm now going to have to buy $6,000 of compute for our startup
How to light 6k on fire.
Better than a foosball table and kegerator.
Woah woah woah, let's not get ahead of ourselves here.
Chinese models brought the building down.
are export controls the right thing ? Probably not.
but the american economy is over-exposed on "A.I" - the capital expenditure, while the Chinese are proving you don't need to spend tons of capital to get close to the frontier.
the Chinese have better building capacity & cheaper energy. that means the market has to correct at some point.
I trust Chinese companies with my data way more than the corporations of the 4th Reich.
Incredible display of brainwashing
My local government has way more power over me than some government on the other side of the world, and way more reason to be interested in my activities. That's just reality.
You really think China doesn't have massive amounts of capital expenditure related to AI? They're actively bootstrapping an entire chip industry.... https://www.reuters.com/world/china/china-prepares-295-billi...
Relatives vs absolutes. America will spend $500B and because of leaky pipes that's effectively 100B going directly to what's needed. China gets a lot of bang for their buck so even if they're spending a fraction of the US, they make it worth their money.
That's true for domestic labor and manufacturing, like shipbuilding, but the bleeding edge chips only come from one place and the US labs get the best while Chinese labs do not (unless they smuggle them). China gets creative, sure, but it can't overcome the fundamental issue that the US labs have more magic rocks that do math faster than their magic rocks. And the current state of the art is to just "do more math".
Nvidia GPUs aren't even the absolute SOTA for LLM inference anymore. Some labs are moving to ASICs and Huawei already have their own custom chips running DeepSeek as we speak.
There's enough money and scale on the line that software affinity like CUDA is no longer the deciding factor and there's margin for custom stacks.
Even more so after the USA GPU exports ban which is proving to have backfired by speeding up China's tech growth.
Definitely hasn’t backfired. Exporting would have just sped up their progress. Instead they had to get clever and lean into the bottleneck which for them, now, is compute efficiency. This is temporary and they’ll figure out competitive chip design and production but not for several more years. It’s incredibly hard to match the quality of NVidia and TSMC, as China has found throughout years of trying.
I’m worried if west gets to ahead the best thing for C is to destroy the factories to slow down the ai.
If west ai is too advanced can take over the world. So better go to war now on a same level playing field than later when you need to fight against a SGI
That is exactly the scenario that I believe and invest in. I peg trouble in Taiwan in the next 2 years at about 30%, which is waaaay higher than is priced into the market right now. If you think intel has gone up in price a lot now, it will absolutely skyrocket if TSMC fabs suddenly disappear. After adjusting to a domestic fab pipeline, we will have built up again an industry with a good talent pool (which we don't have now, Arizona TSMC fab needed to ship people in from Taiwan). At that point, why go back to a TSMC model? Hence we will have a booming domestic production pipeline, though still with complex international dependencies for various components.
Nope. If China were not banned from US-controlled chips, it would be importing chips at much higher prices, therefore getting less bang for its buck while strengthening competitors with its money in the process.
Instead, the US banned China from chips and lithography machines, giving China the legal excuse to start producing them domestically without violating WTO rules. Now China produces cheap chips and uses them with cheap electricity.
This was a dumb move by the US. Brought upon it by dumbf*ck aristocratic elites who grew up in isolated mansions and then received law degrees, with absolutely no understanding of technology and technology ecosystems. They thought they'd just make the rules and everybody would have to obey. It turns out in technology, they don't have to...
Nowhere near the value of having access to chips, at any cost. They have extremely deep pockets. They already pay 6x the cost per FLOP.
You think without export restrictions China wouldn't be doing the exact same thing? China needs absolutely zero legal excuse. I mean sure they have compute available on grey market / domestically but at 6x the cost per FLOP. Access to NVIDIA chips would make it dramatically cheaper for them. Yes you get chip income but that is not even close to what you lose. The strategy is doing what it was always supposed to do: slow them down, bleed their resources to force them to spin their wheels catching up. China is doing a great job with this but they are fundamentally constrained by these export controls.
You are right that this greases the wheels, they are further along than they would have been without export restrictions, but they are still delayed even with the reduced friction. The alternative is that they move slightly slower _while having the same compute infrastructure available_ and at dramatically lower energy costs. That is a far worse position for the US to be in.
I think this is too cynical. Neither one of us is in the room to actually observe the real decision making, but export restrictions as a strategy are not some "dumbf-ck aristocratic elite" thing. They are perfectly rational from a strategic standpoint and arguably doing what they're supposed to do.
I believe China has leaky pipes as well.
China has a big corruption problem.
China’s chip industry is 7-10 years behind, and that is because they are desperate and have been throwing money at it. But technological progress requires more than just money.
Jensen said the Huawei Ascend 950 is roughly comparable to the NVidia H200[1]
The H200 was released Nov 2024.
Even allowing for Jensen exaggerating the risk there is no way China is 7-10 years behind.
Looking at manufacturing process nodes, SMIC N+3 is a a 5nm process. 5nm was introduced by Samsung and TSMC in 2020 so at most that is 6 years.
But the chips they can produce on it are roughly comparable to "roughly level with Android flagships from three years ago"[2]
TL;DR: China is more like 2-4 years behind than 7-10 years. If China developed EUV lithography then all bets are off.
[1] https://www.reddit.com/r/LocalLLaMA/comments/1kxw6b9/nvidia_... - see video.
[2] https://www.tomshardware.com/tech-industry/semiconductors/se...
2-4 years is enough to lock them out of the race.
No? They are actively in the race, what are you talking about
By "the race" I mean "the frontier, and the race to superintelligence." They are categorically behind. The best they can do with the capacity they have is to distill US models, but that doesn't enable them to reach the scale needed to leapfrog the US in the race to superintelligence.
It isn't distillation that gave GLM 5.2 it's jump in performance.
To quote Pat Toulme:
There’s a big misconception about how GLM 5.2 was trained. Yes, they distilled Claude and GPT 5.5 — but distillation is not how they matched Opus quality. Distillation only fixed the cold start problem in RL.
RLing an agentic coding model isn’t rocket science. In simplified terms:
1. RL needs trajectories — rollouts where the model actually completed a task in some env
2. No successful trajectory on a task = zero gradient = you can’t RL it. This is the cold start problem
3. Distillation solves it. You seed your model with knowledge from a smarter one (Claude, GPT) on tasks it can’t do yet
4. Now it produces positive trajectories on those tasks
5. RL on those trajectories and hill climb agentic coding
6. At that point you no longer need to distill and can solely hill climb RL to better models
This is an interesting curve. I’d argue it’s harder to get to Opus 4.8 from scratch than to go from Opus 4.8 → Fable/Mythos tier.
GLM 5.2 is already producing positive trajectories, so they have plenty to RL on — they’ll keep climbing to Mythos quality without distilling any further. They no longer need American models.
https://x.com/PatrickToulme/status/2069211575437627743
Not exactly sure what the finish line in "the race to superintelligence" looks like and even moreso it's unclear why you think being there first is a critical benefit.
I don't think we have any evidence that LLMs will lead to superintelligence. And even if they do, being first in no way locks out the party that gets there second or third.
"Superintelligence" is a convenient marketing myth that the American AI companies use to justify their pursuit of regulatory capture. There is no "race to superintelligence," just a race to rent seeking.
The H200 is a more powerful H100, and the H100 is far from obsolete - for example it is what Musk's Colossus-1 data center, currently being rented to Anthropic, uses.
The only difference between using a slower chip such as H100 (or Huawei's Ascend 750) vs NVIDIA's newer Blackwell chips (B200 etc) is that you need more of the slower chips to achieve the same total FLOPs in your cluster. It has zero effect on what models you can run on it.
It's hard to understand: Do you think that having to use chips that were 20% less performant would lock China out of anything? Are you not aware that with the low costs they have, they can just stack ten times or more datacenters and run workloads in parallel to make up for that performance difference - even if there was actually one that high?
their putting a ton of money into things that will benefit AI work if they work, but chipmaking is important for other reasons too, so if AI (somehow? I doubt) doesn't give enough ROI chips can be used for other things
It's a little too later for export controls. Chinese models have made massive gains through legitimate research but also being trained on billions of tokens from Claude/GPT. The politicians have no idea how to stop that from happening so they pull the only lever they know.
Also, don't forget that we're only here because the clown-in-chief cut them off from GPUs - forcing them to make do with inferior hardware (and hence superior ideas). I have no doubt that any controls would only make China stronger.
Its like any other sanction, its designed to slow not stop
But it actually had the exact opposite effect.
First the US blocked China from buying NVIDIA's H100, but allowed NVIDIA to sell them a China-special nerfed H100, the H800
Then the US blocked the H800
Then the US realized that China was indeed accelerating their US independence, so does a U-turn and has now approved the H200 (more powerful than both the H100 and H800) for sale to China, on a case-by-case basis
However - and here is the real kicker - China themselves are now blocking H200 purchases since they want the acceleration towards Chinese homegrown solutions to continue, and now we have Chinese models being served on Huawei Ascend chips, with next generation Ascend 750 chips (using CXMT made memory) targetting training currently in testing.
Now we have Apple asking the US government for permission to buy memory from CXMT given the global shortage!
The Jensen argument that "oh we get them hooked on our technology and that will actually be better" is bullshit -- they would do the exact same thing they're doing now of building their own supply chains and compute power but be able to accelerate their progress in the meantime with US chips. It is worse in every way to sell them SOTA chips (or even previous generation chips).
Of course they have ways around this -- you can get black market GPUs and also API costs are SUPER cheap there -- they hack the subscription model, bundle a bunch of user accounts, and route API requests through them.
And yes they are getting to parity with US technology and will get there in a few years, they have decent chips but still not the quality of NVIDIA.
It's really a very complex situation
I don't know what you mean by the "quality" of NVIDIA. All the western AI accelerators, from NVIDIA, AMD, Google (TPU) and Amazon (Trainium) are made by TSMC, and their speed/density is only possible due to TSMC using EUV machines made by ASML (a dutch company).
Without access to ASML EUV machines, the Chinese will be stuck on older less-dense chip manufacturing nodes, but in terms of building a cluster this is just a cost/efficiency issue - it means you need more chips, more electricity!
There is a whole lot more to chip and GPU design than the silicon manufacturing itself
You misunderstood my comment. My hypothesis is that it did _neither:_ it accelerated along an axis, and American SOTA/frontier is now laggard (efficiency).
Deepseek and Kimi are writing paper after paper with substantial architecture improvements for efficiency, because they can't just throw more hardware at the problem.
And China is now doing something on the hardware axis; which it may have never explored were it not for the sanctions.
Oh no Chinas chip manufacturing efforts have a long and rocky history, they would be pursuing a sovereign stack no matter what.
The tradeoff is worth it. They’re even publishing papers which blows me away — their efficiency gains quickly become incorporated into frontier models because they are open sourcing them. They would be aggressively pursuing the same chip pipeline strategy as they are today.
US is lagging in efficiency work because the ROI is better elsewhere for us. We have the same tier of talent, once the script flips so can the research.
Gaining parity on the semiconductor fab front has been official government policy as part of their Five Year Plan for at least the last decade, straight from the Politburo. They were always going to go down this path, and with AI playing front and center on their upcoming plan, there’s even more pressure.
There was never a possibility of them not exploring it.
The difference is that this time the both the government and the (semi) private sector invested billions in this area.
They have always been able to do this, but this time they did have the option to pass.
There’s an ambiguity here: what is “this area”? If we’re talking about the semiconductor industry, they’ve been investing billions since the early nineties. The really big push came with the China Integrated Circuit Industry Investment Fund in 2014 at which point they were plowing billions into the industry across the public and private front. That one fund alone has $100 billion in assets under management at this point, and there are many other funds involved.
They’ve also invested in AI separately (before LLMs) in that time period but I’m less familiar with that sector.
LongCat 2.0, 1.6T-scale, released yesterday, was trained on Huawei's GPUs.
DeepSeek is doing similar work too.
Slow? The chip ban was just a few years ago. The result? China is more or less self-sufficient in chips, about to catch up with the latest generation. They even banned China from using lithography machines. The result? China is now producing lithography machines that only few in the world could produce.
Let's face it - all bans were dumb. They just gave China the legal (per WTO rules) justification to start producing everything domestically. The bans work as a reverse tariff, as a protectionist measure that actually protects your competitor. If China did those, others could bring China to court at the WTO. But the US did that, so nobody can sue China.
They are still a few years away from parity. It's not that they _cannot_ train frontier models its that it costs 6x as much roughly, and thats ignoring the headaches and extra hoops they need to gather that compute. That is the entire point of export controls. Slow them down, make R&D more painful. The whole picture -- Chinese research now being best in the world for compute-efficient AI development, China aggressively pursuing independence in compute capabilities -- are all perfectly predictable and do not invalidate the point that export controls are doing their job.
Regardless of any export controls (or really anything else) China would be aggressively ramping up chip production capabilities as fast as they possibly could. Export controls maybe help slightly here but it's worth it. China will succeed too, but it takes time. China has been pursuing this for decades.
Predictably, this is oversimplifying.
It just doesn't matter, reliance on chips from an adversary is an untenable place to be. They don't need any legal excuses.
Again untrue -- tariffs are devastating economically but BOTH the US and China want independence from another, it's just a very painful cost economically to do the divorce. It's far less efficient and horrifies economists but geopolitics is multifaceted.
Hmmmmm would this really work? Would this have any meaningful impact whatsoever on their strategic initiatives? I highly doubt that.
I'm extremely left leaning myself but I'd rather not be able to tell who won the last election cycle by looking at HN and seeing whether comments containing phrases like this for the president are upvoted or [dead]. The only thing it aids is convincing people the guidelines are for selective application. Everyone who doesn't like ${currentPresident} will be unchanged and those who do aren't going to be convinced by constant casual name calling across the site - probably the opposite.
I usually also expect to get called out as only saying this when ${currentParty} is in power or when it only benefits ${awfulThingsAboutCurrentParty}, regardless which that is and what those are at the moment. I've started including this note and the searchable token "reallynotpartyrelated" when commenting such things for later reference - this paragraph can otherwise be ignored :).
I just finished reading Incorruptible and a central theme (Anthropic is a case study) is that trust is singularly the most important currency a business has. The past few weeks have done wonders for Anthropic’s marketing but just as much if not more damage to the trust factor. Businesses will continue to use Anthropic because it’s the default and accessible where it matters (AWS, Azure, GCP, Databricks, Snowflake, etc). But the trust factor has dropped. It’ll be interesting to see if they can turn the tide. Maybe Fable will be too awesome for people to care about the past few weeks?
Most people don't care about trust anymore, we live in a low trust society where this is to be expected. People gladly line up to be poisoned by fast food restaurants and trade 1/3 of their life for pieces of paper on a daily basis.
Silicon valley may be a low trust society but I havent given up hope on the rest of it yet.
After COVID at least in the West, I have.
Or at any rate, the "society" being gauged for trust-levels has to be something substantially finer-grained than a US state.
I don’t agree with this at all. IMO Anthropic has shown that that are willing to take even significant financial hits in order to stand up to their values and mitigate what they consider to be dangers and risks. Some people don’t like that or think it’s just marketing. But that’s exactly what Incorruptible is about: companies that are willing to take a stand, even in the face of overwhelming pressure from competitors, shareholders and naysayers.
This is assuming the whole "AI safety" thing was anything more than Silicon Valley kool aid. The government just bought into the marketing and radical safety woo woo wholesale and panicked.
You could legitimately argue this is a unique situation, a brief window where cybersecurity is being disrupted by new harnesses + a strong model. But that will be fleeting as other models and products adapt very quickly, and the long term benefits of keeping it from the market are questionable at best.
It's not a coincidence the export control was dropped after Dario (who is a hardcore AI safety activist much like Ilya Sutskever) was replaced by Tom Brown in the government negotiations.
There is no reason to have less trust in Anthropic. It's not clear they did anything wrong. It's more likely the White House simply tied itself in knots, consistent with the last year and a half of chaos from them.
It's a good reason to not tie your company's success to US based hosted AI though. I've started experimenting with GLM 5.2 and other than the tooling needing a lot more setup once you're there it works pretty well.
I'm hoping that some relatively cost-effective self-hosting solutions come about as a result of Hopper hardware being sold off as they're retired from DC use.
Fable will literally sabotage you if it thinks you're trying to compete with Anthropic.
Perception is a lot more important than reason when it comes to trust. Whether or not we like that
It’s the thousand cuts problem. Look at the stories over the past couple of weeks: silent downgrades that they then walked back, billing errors with claude code, highly sensitive classifiers that made it impossible to do simple things (I asked a few botany questions and my very long chat got lobotomized), and several more. The ban is only part of it. It’s the whole rollout and the fact that it won’t be available in subscriptions in a week or two.
To be honest, given the overwhelming (and unfair, and unreasonable) pressure against them from the Leviathan, which the other companies do not have to deal with, they’re doing pretty damn good. In my mind the trust has actually increased that they can handle bad times and still push forward.
it’s still significantly far ahead of openai. gpt 5.6 looks like “better 5.5”. fable does not feel like better opus 4.8.
We have no idea what GPT 5.6 is going to be.
And 5.5 still ranks higher than Opus 4.8.
we’ve got the benchmark graphs from the announcement, and i hear tepid opinions from people with gpt 5.6 access. fable is far ahead of gpt 5.5 (my prev daily driver) also. much less passive aggressive / overly defensive.
I'm not subscribed to either right now, but have always preferred the GPT "personality." It does what I tell it to, not what it imagines. With Claude I was constantly jamming the escape key -- "STOP THAT".
So much for way too dangerous end of the world
So how much did they have to donate to the MAGA PAC for this one?
That's what I was thinking, the check finally cleared.
Debating if I should re-sub to the Max plan now (in case they grandfather people in some how) or if I should just wait and see what they announce.
They announced a generous 3.5 days of subscription usage, plus a broken classifier.
Considering US Govt originally said Fable 5 should only be used by Americans and blocked off everywhere else, and that all of a sudden a big change of heart - it makes me wonder if the Fable 5 that I might be able to use tomorrow will be the same Fable 5 an American can use? I just want to know the specifics of what changed. Because something has changed. Unless tomorrow, we can activate Fable 5, "But first, we need to scan your eyeballs for Persona!"
ah, I see. so, Chinese models are getting banned soon.
My only hope is that they don't overdo the guardrails. Claude's been one of the best coding models, and it'd be nice if it stayed that way for real and legitimate developer workflows.
I bet you that nothing changed with how Fable 5 is run.
"Anthropic has agreed to proactively detect and address security risks associated with the models" LOL, this was already happening.
This clown car administration just keeps making shit up and then backpedalling in a way that just leaves everything worse.
Looks like it's gonna be even harder to use than before, if not impossible. Subscription users only get it for a week, and only for 50% of that week's usage.
They're cooperating, the US government knows that and it was all a scheme to hype the model or affect the market.
Was this part of the scheme as well?
https://en.wikipedia.org/wiki/Anthropic%E2%80%93United_State...
The counter example is the administration’s great success in the Iran war. Oh, wait.
I expect they just increased the sensitivity of their existing filter. They probably intend to gradually lower it over time, or perhaps introduct Fable 5.1 with less filtering.
It's pretty clear that they didn't want this anyway, despite what the conspiracy theorists want to believe.
Considering Anthropic's most recent masterpiece of marking requests in CC they don't look much better than the 'clown car administration'.
TAICO. But seriously, I think the whole capex bubble is a response to the unpredictability of this administration by locking in future sales and orders to reduce the impact of its mercurial moves.
That a good 1/3 of America is still cheering this behavior on is beyond me. I didn't vote for him anytime he ran, but at least during his first term there were some adults I disagreed with in the room as opposed to the barrel of chaos monkeys we now have. He really doesn't reflect the views of either party, he is his own thing.
I'll take the opposite side of that bet. My prediction is that Fable 5 Re-Release will have safety classifiers that flag much more often on mundane front-end and back-end coding tasks.
I'm not fan of this administration to say the least but assuming they are incompetent is dangerous. Assume they're actually 10-head and ask yourself, what would explain their behavior?
For example, you make an astute observation corroborated by the duration of the ban. Aligning a model is the biggest challenge of these companies, it's unlikely they were able to make a giant leap in alignment capabilities in about a month. You know what is easy to do in a month? Establishing the foundation for digital identity and surveillance.
The government just forced (heavily incentivized) these companies to invest in classifiers and monitoring in a way they haven't needed before. All of this new infrastructure can be used outside the context of the people using language models.
Almost as though they were indefensible bullshit to begin with. I wonder who extorted whom and for how much.
Like gee, that was fast. If this had any bearing on reality, one would imagine the vetting process would take actual time and that there would be a real, material difference between what we knew then and what we know now.
The cartoon bullshit theater is exhausting.
Q: If/when Fable decides to nerd down to Opus on requests it deems dangerous, will we still pay the Fable API token rate?
If it’s blocked before any output, you’re billed only at Opus rates. If it’s blocked midstream, you’re billed Fable rates for what was generated so far, and Opus rates for the rest.
"Taken Steps"
Looks like Anthropic paid the Danegeld. Now they'll never get rid of the Dane.
South of Watling St you're ok.
I mean, they did eventually get rid of the Danes.
The Danes colonised England. They never left but merged with the existing population.
https://www.britannica.com/place/Danelaw
Not really, the genetic contribution of Danes to modern English DNA is somewhere 0-10%. There was some merging but pretty marginal.
They were the ruling class of half of England for a significant period. That is not marginal. It influenced laws, culture and language, though later displaced by the Normans who also had a profound impact. Were the Normans also marginal as they did not have a huge genetic impact?
No they didn't. The vikings became part of the population
The school bully rarely has a great life after high school. In this case, the bully ended up working for them.
That involved a rather genocidal approach in 1065 - killing everyone related to, or doing business with the Vikings. This tends to get downplayed by historians. And when the Vikings/Norsemen came back for revenge in 1066, King Harold 2nd managed to kill off the Viking force at Stamford Bridge, but was too exhausted when William invaded down south (being defeated at Hastings). 300-ish miles is a short drive by car, but in an era long before preserved food or mechanized transport, such a march over about 2 weeks would have been terrible.
Overview: https://www.bbc.co.uk/history/ancient/vikings/overview_vikin...
https://en.wikipedia.org/wiki/Northumbrian_Revolt_of_1065
https://en.wikipedia.org/wiki/Battle_of_Stamford_Bridge
https://en.wikipedia.org/wiki/Battle_of_Hastings
Oh I know, it was ugly. The OP just phased it like the brits were still paying tribute to the Danes.
Definitely took longer than I was expecting, then after two weeks I thought we'd never get it.
The real problem in all this is lack of predictability. The White House is just making it up as it goes along. Investors, customers don’t know what the process is and can’t plan.
In the end, we need actual laws that tell the market what kinds of models get paused / analyzed, how long that pause can be, etc.
Otherwise there’s no standard and it will be easily abused and prevent investment in US AI companies.
Just wait till Anthropic and OpenAI are public, the admin is going to be manipulating the shit out of those with model approvals and denials.
“Anthropic wants to MAKE A DEAL!”
Making the CCP look good. Have to admit that's quite an achievement from Trump!
There are laws and regs. Just because you’re not familiar with the Defense Production Act (50 U.S.C. § 4511 ), Export Control Reform Act, 50 U.S.C. § 4812 and others doesn’t mean that they don’t exist and apply.
When they apply is entirely at the whim of the administration though. They can pick and choose, and there is no oversight.
Applies to all industries with the memory care patient currently occupying the White House. Passing laws won't help when they can be effectively struck down until the next sitting of the SC.
That's been the problem both times this administration was in power. Some people like to call it 4D Chess (because they don't understand it and their conspiratorial thinking requires there to be "a plot" or "a plan"). The last person to get to the ear of this President is the cause of any new "process" or "policy". It is just whim. Like a dog seeing a squirrel. Something shiny has attracted his attention. And that new squirrel gets chased.
Yabbut...we sort of need to make it up as we go along. This is unprecedented! Thinking machines!
That said, there is stupid "making it up" and smart "making it up". But it does need to be made up.
A: Congress used to be able to establish regulatory authority in the executive branch to manage details like this, because writing a useful law that covers this in any detail would be impossible. Thanks, GOP-stacked Supreme Court, for wrecking that.
B: This administration doesn't give a rat's ass about the law, so none of this would make a difference anyway.
This also shows why Anthropic is just not ready for an IPO. This admin can pump or crash the stock with dubious decisions.
So it seems like David Sacks was right that the US government only really got involved because the Amazon/ AWS CEO complained about latent security threats [0] and that the government was reluctant to actually issue the export control.
[0] https://news.ycombinator.com/item?id=48529358
Sacks has said so many obviously false things in reference to government actions (Jan 6th, Ukraine, etc) that there is no reason to trust anything he says.
If the Trump administration wants him to say something, he says it. Maybe what he is saying is true, maybe it isn’t. There is no way to know.
The story they are telling is exactly the same whether it was true or they were just shaking down Anthropic for no reason.
I think this is oversimplifying things.
There are many different factions within the administration. Sacks was part of the "deregulate the tech sector" faction, which on this issue is aligned with the "beating China overrides anything" faction.
That's distinct from the Pete Hegseth faction (I don't really know how to characterize his faction other than anti-woke maybe?).
Sometimes these factions agree, sometimes they don't.
In general your approach is right - you can't trust most things coming out of this administration. But you can try to unpick was actually happened by who is saying what, when. That is useful even without liking the people.
Indeed, this is very prevalent in investigative journalism as well. Everyone has biases, but it's understanding that and piecing together the various parts that brings the truth out.
the war crimes faction?
Thank you to the folks that navigated the maze in the dark to make this happen.
Fable was such a clear improvement. I can't wait to start using it again.
Opus 4.8, you did a lot of good work for me, but in the name of all things holy... I will not miss your communication style. So long and thanks for the fish.
When is Google coming out with an equivalent Gemini model?
Indeed when they are coming out with a model that is, say, gpt 5.5 or opus 4.8 grade. Gemini currently does not compete in the same class. I wonder what do they use internall at google. Surely not 3.5.
I think googles been putting more of their money into super long context stuff, not powerful coding stuff. they've got 10million token windows for some internal stuff (Gemini 1.5 Pro Test), more research says meta is also in on the long context game (Llama 4 Scout)
Google can't even give me the correct answer when I search anymore, give them time to figure out basic search first.
They won't. They're focusing on different areas for their models.
Expound please.
They probably already have for internal use only.
Unlike Anthropic and OpenAI, Google is much larger than AI. They don't need to sell SOTA.
So, uh, any chance us Claude subscription people are going to get the 11 days of Fable 5 access (at non API pricing) we were deprived of?
Huh did not expect them to lift restrictions this soon.
I wonder if Anthropic servers can handle the load their going to get tomorrow. Unless it’s a staged rollout
Love how they waited until almost 5p west coast time on the last day of the fiscal quarter and clearly gave Ant no advance notice (or Ant would have had Fable release queued up on a button).
Hmm? The linked tweet was posted at 16:52.
Ah, my time zone was incorrect. Fixed it. Thanks for letting me know.
Fable 5 apparently can't be used for coding? (This is from Anthropic's announcement.)
Edit: the above was from their tweet announcement at https://x.com/AnthropicAI/status/2072163884430229756 ... the associated blog post at https://www.anthropic.com/news/redeploying-fable-5 suggests it was just poorly written and coding can still be done with Fable, just with overeager bouncing of "some routine coding and debugging tasks" to Opus.
From the full announcement
But wasn't the whole (claimed) reason that it got banned in the first place that it is a logical impossibility? Reviewing code for bugs is legitimate. Writing regression tests for bugs is legitimate. If the bug happens to be a security issue then the regression test may be a PoC or at least a step towards one.
I wonder if they meant to draw a link between cybersecurity coding and debugging specifically or this really will apply to all coding and debugging. If it really is a more general restriction, then this is practically the same as it still being restricted.
"In the near term" is doing some heavy lifting.
where did you find that? weird coz their post announcing this also mentioned Claude Code:
https://www.anthropic.com/news/redeploying-fable-5
Their announcement tweet at https://x.com/AnthropicAI/status/2072163884430229756
Reading the full blog post, I think the summary was just poorly written (because it's hard not to read that sentence like all coding is redirected to Opus).
In the press release, they 'kind of' clarify this:
Here's Fable 5, the strongest model. Actually try to use it to harden your code and it turns into Opus 4.8. You have seven days to use it, and only half of that time's worth in actual usage. Enjoy.
Looks like it's going to be a thoroughly frustrating experience, even worse than initial rollout. For subscription users, the situation is almost indistinguishable from the export ban.
they might as well not released it at all, what's the point of this theater and artificial scarcity
No idea. But I will switch to OpenAI if they release their Sol model on a subscription. And if neither of them do, I will switch to GLM 5.2.
This is what I’m thinking, too. OpenAI is gaining a structural advantage purely on the basis of not being considered an enemy of the administration. Anthropic really blew it with Washington.
By "blew it with Washington" you mean "Didn't donate millions to the ballroom."
It's interesting that the fate of billions or even trillions of dollar hinges on millions of dollars of donations.
That is what corruption usually looks like
They blew it by pretending to take some sort of moral high ground while their model was being used in Iran to blow up schools. I say they get what they deserve. I would have a lot more respect for them if they banned Pentagon use of their models outright.
It doesn't look like it; similar restrictions apply to GPT-5.6 as used to apply to Fable.
I think the Fable ban happened because Anthropic was first to release a capable enough model.
i don’t think 5.6 will be as good as fable. their benchmark graphs say so, maybe they’ll take some limiters off next week or something now that being Fable tier isn’t scary anymore.
It will likely be GLM 5.3 by then
Perhaps the 9,999 fields other than computer technician will appreciate it?
So fable will jump more often to Opus than it already did on original release? Working with fable felt like having to constantly fight against your work tool. Frustrating. Now they're making it even more frustrating.
Donald Trump named David Sacks the White House AI and crypto czar. I guess you know whom to thank.
Wasnt it Anthropic marketing their models as very very smart and dangerous?
I can't roll my eyes hard enough at all the people who say this shit about Anthropic every day. I know I'll get downvoted. I know it's lame to complain about future downvotes. I don't care anymore.
Anthropic was correct in their assessment and early warning of Mythos's capabilities, and they did this rollout pretty well. They were not hype marketing. They were being genuinely cautious and honest.
The Trump admin was largely unreasonable with the sudden export control. (Though not entirely unreasonable.) The export control also had not much to do with Anthropic's pre-release warnings. See: GPT-5.6 currently being held up by the federal government.
So what prevented them from putting in the sort of safeguards they ended up putting in without hyping it for months prior as being so good, it's too dangerous?
I'm not sure what you're saying. They spent ages adding guardrails to Mythos. Then they spent ages creating a whole new even more guardrailed version of Mythos called Fable. Then they added tons of classifiers so API requests to Fable would get rejected even if you ask a question like "what is a molecule". They put the thickest layer of bubble wrap around the model of any model in history. And then just today they made the classifiers even much more extreme than at the initial launch.
If they were truly honest in their beliefs of the potential risks of this model, how would their behavior have differed? I would expect exactly the behavior we see, if they were being honest in their belief.
Also note Dario here saying they shot themselves in the foot commercially with how they handled the rollout of the model - you can tell by his reflexive reaction how ridiculous he considers the accusation: https://youtu.be/v1wZwxY3CMg?t=2103
Sacks has been out since March
For reference, here's what my experience with Fable turned out to be like:
https://news.ycombinator.com/item?id=48466313
Just a code review of my own project. Downgraded to Opus 50% of the time while evaluating the critical I/O and memory safety parts, the exact thing I wanted it to do.
And now it's gonna be even worse.
I mean what do you expect when covering memory safety topics with a model that's not allowed to cover security topics? This seems totally expected. It'll be the same when 5.6 is released.
I expect the strong cybersecurity model to help me strengthen the cybersecurity of my project.
They said it wouldn't be usable for offensive purposes. This is the opposite of that.
You don't have the strong cybersecurity model. That is not Fable. It never was, even at release.
The cybersecurity model is Mythos, which was never made publicly available. It is only available to a list of US government approved companies.
No, they said Fable would refuse for cybersecurity and offensive purposes. You are conflating Fable with Mythos.
They're very similar models though, just with different safeguards and restrictions in placae around particular use cases.
I guess the underlying issue is that there is this model that is very capable, but it's being hobbled because of a fear of abuse. It may well be justified, but for a legitimate user any restriction just makes it a worse product and after all the puffery around how good it is (and some practical experience of how good it is) it's a pretty shit experience. "Here's our best model, no you can't really use it".
Fable adds guard rails like cyber refusals to mythos. Mythos is the starting point for fable. Same model family.
Is there a difference though?
Fable 5, harden my openssl project. Then you use the diffs/summary to find out what the bug is for your exploit.
They're going to be verifying people's identities anyway. Why not put that bit of security theater to good use for once? I'm the author of project X, now let the model work on it, would you kindly?
This "only super special corporations get the model" nonsense is dividing society into haves and have-nots.
Fable is very strong for finding bugs. But you are explicitly not supposed to use it for cybersecurity. Even in the initial rollout I had it refuse and fall back to Opus when implementing a change password function
That's what I was trying to use it for. Find bugs. Anthropic just refused to let it find the memory safety bugs in my C project.
Oh come on Opus is perfectly good enough for any coding task. You will barely notice when it drops down from Fable.
Why use Fable at all then?
Still waiting for the answer.
You probably shouldn't unless you're doing hardcore cybersecurity
It kind of sounds like you aren't allowed to use it for that.
It even refuses to do numerical time-series analysis (this on an empty project). This is something even a non-llm ML algorithm can do. It’s insane
At least subscription users only have to pay $700 for $1000 of extra credits.
Honestly, why bother with it? They are effectively just releasing the model in-name, but we just get Opus 4.8.
Yeah. I'm gonna ask Fable to code review my other projects and I guess that's it.
It was already frustrating to use before. I wanted to review my own code for OWASP top 10 kind of stuff and it kept refusing. It repeatedly popped up scary warnings about how I was violating TOS. I had to go through quite a few iterations of that prompt. When I finally got it to work it burned through all my remaining usage on a single run.
I won’t even bother with it if they’ve made it even more frustrating. Instead, I’ve been using a combo of Opus 4.8, GLM 5.2 and DeepSeek v4 Pro. Then I have Opus synthesize and verify the reports from all 3 and make the fixes.
“And even though it falls back to Opus, we charge you for Fumble.”
Fable 5 is switching into Opus 4.8 for everything I throw at it. It is not worth it Opus 4.8 is good enough for the next couple months. For $17/mo for pro anthropic is still worth it for claude code etc.
Yes, I am pretty sure it was simply poorly worded.
They almost definitely mean "you will notice even more false positives during seemingly routine coding/debugging tasks than you did at the initial launch". Which is not surprising, given the ordeal they've been put through. Hopefully it won't be too bad.
The main depressing thing for me is it's now only 7 days on the subscription, and then full API pricing, with no mention of even a plan to bring it back to the subscription in the future. (The initial launch mentioned two weeks of subscription, then API pricing, then a hope to return it back to the subscription not long after.)
So, you can't use it for coding, can't use it for 'sensitive' information in chemistry/biology. It follows that it's likely bad for medicine and adjacent topics too.
What can you use it for? To run a breadth search on Erdos problems?
To do if/else
For all the sound and fury we don’t even get a week of fable before it goes token based billing. At such time, I will be taking my business elsewhere.
I'm hoping openai releases 5.6 Sol in the meantime (and doesn't make it an addon like anthropic did) so we can leave for codex and have a ~Fable-level model to use
Basically not usable if it's only available via usage pricing.
Silly me for hoping they'd actually honor their original 14-day promise. Per their latest blog post, they've generously slashed the timeline to 7 days, but wait there's more! It's now limited to 50% of your weekly usage:
https://www.anthropic.com/news/redeploying-fable-5
Yeah, this seems a bit Scrooge-y after all the trouble which was essentially of their own making. I was expecting them to come back with a better deal as an apology, not a worse one.
I assume what they saw during the first coming of Fable gave them pause. Lots of people I know were using it non stop to the point of serious sleep deprivation. I managed to burn 6k in 3 days on it, and was myself using it from the minute it landed till the minute it was shut off. (Yes yes, I know, I am just saying there were stupid people like me swarming the available capacity)
Would you be doing that without the FOMO?
I would be doing the same thing with opus or gpt-5.5 -- project in crunch phase. But I really did enjoy Fable. Not sure if it was worth the premium, probably, but it offered great design help.
Yeah for the first time in a long time I ended up using my entire weekly quota. Usually I go slow but with Fable I actively saw a huge benefit in pushing it and doing much more.
Hi subscription peasants! You have seven days of time and 3.5 days of usage to figure out how to get the most out of Fable while it constantly downgrades to Opus 4.8 every time it thinks about exploits while hardening your code base! Enjoy!
3.5 days to escape the permanent underclass ;_;
If they really cared about their image among their user base and wanted to undo a little bit of damage they've already done via various policies and decisions, keeping the limits and duration the same as before the ban (or slightly being more generous with them) would have been a really cheap way for them to do that. Alas...
I hope that their marketing and developer relations teams were already off yesterday, and that they will have better news for us today.
OpenAI is doing a much better job on this, offering generous usage limits to users at home. They also hand out usage resets for minor issues, that you can even apply at a time of your choosing.
5.6 isn't available to subscribers at all. "Better" on the optics front because they didn't tease users, but they're not better for subscribers regarding latest model access.
It is expected to release next week, and the reason it has not been widely rolled out yet is the US administration, as far as I know.
We lost ten days of the original plan (June 13th through 22nd) and got seven days (July 1st through 7th). You're not counting the portion of the original 14 days we already got.
They should give us a month of access again, I feel like I didn't do enough with Fable before it got blocked.
I only realised late that I had an algorithm problem that existing models were struggling with, and Fable had made progress with. It created a 14 phase plan, which I was able to execute with Opus after the restriction.
As another comment nicely put it, Anthropic generously gives subscription users 3.5 days of usage.
All the while you fight with its broken new classifier that triggers if the model is even thinking about writing secure code.
Apparently Anthropic cares nothing for their private users. This is insulting, and I hope they bankrupt after losing enterprise share to OpenAI's more efficient models.
Can't do anything else with GLM 5.2 being widely available and advertised as "Mythos-like", and even Japan dropping a credible model. Actually it would only hurt to keep them in lockdown.
I don't think anyone with a clue seriously thinks of GLM as Mythos like. It's barely Opus-like. The closest comparison is Sonnet 5.
True. But for how long? 6-9 months till Mythos equivalence in glm-5.4?
Depends if they can distill Mythos. They are creative, I think they'll hack a US company to get access to Mythos traces and do it.
Are you sure about that? But also I don't think anyone in the export control decision making has much of a clue about model capabilities as well. All someone has to do is show them a few articles, like:
- https://vgtimes.com/tech-and-hardware/159377-glm-5.2-open-ch...
- https://www.business-standard.com/technology/artificial-inte...
- https://www.timesnownews.com/technology-science/china-brings...
if fugu/fugu ultra was good, why aren’t we hearing about how good it is? seems super slow and expensive, and everyone i’ve talked to who tried it gave up
That's at least better than the nothing we've been hearing all this time. Japan being what it is re tech, I expected them to be heavy in the space, but Fugu is the first LLM I'm seeing gain attention in the news. Although that attention is still also boosted by the timely release during the export control. It's strange.
It's interesting that they will only have it on the surface through July 7, especially since GPT-5.6 will presumably come out soon as well.
Of course, it's possible that Fable remains drastically better than 5.6, but to whatever extent Fable is the true frontier (if temporarily)... it makes me wonder if external commitments on compute put a hard deadline on how long they could run Fable on the subscriptions.
So we will get GPT 5.6 soon?
Fable is still unavailable to me on both web and Claude Code. I'm in Indonesia on Max plan (new paid user, only 2 weeks in). Are there specific steps to re-enable it?
Yes. Wait a day
Same for me in France, I'm guessing it depends on a claude-code update that will happen during US office hours
I struggle to imagine where anthropic is going with sub users...
Fable 5 might not be accessible for sub in the future despite their "best effort".
And 5.6-sol is as expensive as 5.5, so highly probable to be kept in sub.
So what's the plan? Hoping people stay on ClaudeCode because Sonnet 5 while Codex offers 5.6-sol to subsription peasants?
Seems risky
OpenAI prioritized compute much much earlier on, so they’re probably just more able to provide the model while Anthropic seems to be busting out the seams
Sonnet 5 today was incredibly slow for example
the plan is to make money by charging a premium for the best product on the market instead of giving it away for free.
Let me guess, somebody magically set some huge bets on poly and stock market 5 minutes before the announcement ?
Considering Fable will be effectively unusable, while still triggering polymarket payouts by being technically available, I wouldn't be surprised if this so-called "restoration" was done entirely to deepen certain pockets.
So two and a half weeks, and on the workday. I wonder how much Jared had made.
https://news.ycombinator.com/item?id=48519513
You’re setting my expectations high for your next prediction
Wouldn't "2-3 weeks on a workday" be a default hypothesis for this kind of thing?
If it's truly too dangerous to use you'd expect it not to be reversed at all.
Why would you expect a typical policy decision to be reversed within 3 weeks? If policies are going to be reversed within 3 weeks just don't do them in the first place.
Normally export controls once introduced last years to decades.
Surprised this post has less engagement than the Sonnet announcement. Much bigger deal, even with caveats.
For how long lol
This administration has damaged the US soft power. For decades, US was a reliable trade partner. Not any more.
EU is looking and charting its course already. Yeah, we can joke about it, we can mock it but it is in momentum already, one step at a time.
Do these actions strike anyone else as theater?
Something I am not seeing discussed is why the sudden reversal?
Could it be Antropic promised NSA direct access to everyone's queries or something? Maybe an opportunity for admin officials to get in early on their promised IPO?
I am not a conspiracy theorist but this admin especially doesn't relent for free.
They made the guardrails tighter. Tight enough to capture more false positive requests, now. Yaaaaay.
Well, that's the publicly stated reason. Is that really enough? Maybe, but I am slightly suspicious something else was promised behind the scenes.
I could barely use Fable before (I work in life science) and now they're adding more restrictions? Well good thing Opus is solid
It was just a matter of the right amount of money going into the right person's hands.
Wait, will it downgrade to Opus even when using with extra usage? So you pay a hefty amount up to the point where the model needs to do Real Work then it quits?
The constant hype marketing from Anthropic probably did not help in the end. I think that had something to do with it.
Its too little, too late. LLMs are going to go the same way as 3D printers, action cameras, vacuums, TVs, drones, cars, phones, whatever.
The west just don't know how to compete in the long run. The greed is eating itself up.
Idk, I look at the list of the top companies and they seem to be based on US IP.
I agree that the US is falling behind in the areas you mention but that analysis fails to recognize the value of markets the US is dominant in.
They asked Claude how to hide the Epstein files data that it found, so that even Claude and Mythos couldn't straight-up verify that Trump is a paedophile.
It took a lot of doing, but they finally managed it, so the plebs get to play with the toys again
"Lifted" meaning temporary, until they don't like something else and have another tantrum over a minor detail.
Okay, but what has changed?
Just let people use their subscriptions for Fable. Permanently. All of it. Even if it runs out at 10% of the equivalent Opus use. Let people choose, there’s nothing to be gained by not allowing users to exhaust their subscriptions rapidly on this other than ill will.
Looks like the White House is the happy owner of a new gold statue then?
I am migrating my company to private open source AI and building custom tooling, orchestration, an IDE and harness around it. The commercial labs have show it’s far too risky to build on top of them.
With the labs moving into the app layer every interaction with the API related to product development or innovation is data they will steal and use to compete against you by adding those features to their everything apps. No one would hire a knowledge firm (law firm, accountants, management consultants) if they could steal your information and give it to your competitors. Their actions have remained me that we can’t tolerate that with AI systems.
With spaceX buying cursor and Google buying windsurf, and gathering all the developer interaction as training data, there is too much risk that development process itself will be rug pulled.
This makes sense but I am not comfortable with the open source picture either. It depends on the use case and long term strategy. If you're handling customer support tickets or something, beyond some capability I can't imagine the ROI would be worth needing the absolute frontier. You are then in a wonderfully lovely place: absolutely full control over the model and inference stack (if you want).
But
- Plenty of businesses are stuck between a rock and a hard place: make 3p models load bearing, or sacrifice performance to the competitors that are willing to swallow that risk
- I just cannot imagine a viable equilibrium where OSS models compete on capabilities with the frontier without a hidden payer and shaky economics. Quant funds, some sovereign AI effort, cloud business, sanctioned distilled frontier models; all of these are demonstrably viable vehicles for OSS development. But the optimal position for these purposes is not to be the best, it's to be good enough (which I think is the position they find themselves in). I can imagine temporary points where open models pull ahead but not sustainably.
I agree there are many many use cases where the optimal choice is to reach for open weight models (I assume yours is one of them).
But the economics of frontier model development necessitates that these models are behind and thats a problem for other cases.
You’ve been boosting frontier model development for months and talking aloud about escape velocity lmao.
Take your ball and go home
I don't have a ball, where's my ball? Did you take my ball? I want my ball.
I am not sure I understand your arguments. You seem to be taking both positions. I suspect that is because there are a few confounding variables and diverse needs AI solves and that makes a cohesive analysis hard to reach. I have a clear view that cuts through the complexity, whether you find it useful or persuasive is another matter but I’ll lay it out.
1. All intelligence has value. A Harvard MBA or Stanford CS engineer have value. Haiku has value, Opus has value.
2. Sometimes it makes sense to buy, build or rent capabilities. But lack of ownership of something your business requires to operate is an existential risk which requires ownership.
3. Current OSS models are good enough for substantial automation and productivity gains with the right orchestration and harness. Especially with domain experts in the loop.
4. Frontier models while better, introduce existential risk; so they are a temptation that should be ignored if you care about your business being able to continue to exist.
Let’s invert this conclusion. Imagine you build a workflow around Fable 5 and the workflow going down would harm your business. Well the government has demonstrated ability and willingness to impose a multi day / week / month interruption in your business with no legally required notice, right to appeal or compensation. And further demonstrates a willingness to give preferential access to your competitors.
For these reasons, the only viable path is a model you have on servers you control and can replace if needed. That means cloud providers are fine if you have the model archived somewhere.
I agree with everything you're saying. And I would also agree if you can run your business adequately on OSS models you should absolutely do that for exactly the reasons you say. All I mean is: frontier models will always have their place and I don't see a way for OSS to ever change that picture. I also worry that the economics that makes meaningful open weights model development possible may break someday but I don't really see a mechanism for this at this point.
I don't actually have a use case in mind where you would _need_ or get a substantial competitive advantage of the absolute frontier in some sort of workflow or whatever load bearing DAG there is for your business. But if there are cases like this, that will suck.
Red hat did it for Linux. Someone needs to do the same for AI. Make money on the implementation and maintenance not the api tokens. Tech companies have gotten fat and Happy on recurring revenue. But they are abusing the trust users have placed in them. I feel a back lash in a way I’ve never experienced.
I think AI labs are assuming that if they build and serve intelligence every one will want it. I think the last month has resulted in a lot of people saying “f u I would rather fail in life than serve you”. I personally went from feeling excited and optimistic about building amazing things on top of the models to hell bent on being self reliant and lots of my friends are doing the same.
I think the problem is whether you're for or against local models, the training strategies etc are roughly the same.
I agree a lot of people are saying this and doing this but this won't last long. People do not want to suffer or fall behind their peers. At some point not using AI for anything will not be a feasible option. Unless you operate from an incredibly uncommon and privileged financial position, you don't really even have a choice.
The thing the overlords are forgetting is they need customers and users.
You are right that the temptation to use the asymmetric advantage AI gives will be intense. But banks felt that temptation in 2008 in with cheap capital and 40x leverage. Some banks resisted. Which ones do you think survived in 2010? Business and technology moves in cycles. Optimize for longevity and let your competitors go out of business
Sounds expensive
It is. But cash expenditures can be modeled in the business economics. But depending on an unrelated party for a core capability is an existential threat. Imagine if every single computer your business runs on could be bricked without notice or a fallback. You’d go bankrupt within a day. That’s the signal this fiasco has sent.
That being said, I am working on a federated / coop model that will allow smaller companies to pool resources.
The concern would be the ever increasing cost of GPUs. I imagine to help mitigate the risk, having a setup where more GPU's can be added on, and the old ones can still be used (as new ones get added on) would make the endeavor more palatable. Vs. having to swap out old GPUs for new ones, because the money spent on the old ones is lost (or at least some of it is lost if you can find a way to resell them).
I was spending $3000 per month on AI and my team was restrained from using it because we don’t have that type of budget per person. Even $200 per person was a stretch. But we could buy enough hardware that it made sense per person
The Chinese are clearly great at distilling current SOTA models. And yes they are crushing on energy infra buildout, especially with American NIMBYs and general Marxist degrowth mindsets.
They still don't have a clear path to create their own SOTA models, especially if American ones become more and more locked down, and they can't distill so easily.
Honestly I think the SpaceX orbital plan is the only hope of maintaining the US lead in the long run.
A literal Communist dictatorship is winning the race thanks to their 5-years plans yet you still think the problem is “too much Marxism in the US”.
What an utterly deranged take.
This just pushes me more and more towards local models. Even if it's what they have to do, frontier labs working hand in hand with government just makes me really nervous about letting them anywhere near my data. The surveillance state is bad enough as it is.
This is crazy news but with they have done so with limitations. World is going wild since couple of years or maybe more.
For people who haven't tried Fable yet, here's an emulation you can use to experience Fable, just paste this into whatever you're using to access Claude:
-- Snip --
echo "Switched to Opus 4.8. Fable's safeguards flagged this message"
switch model to Opus 4.8
-- Snip --