Another piece of evidence on the pile that the sudden panic and desire to "slow down" is because they're hitting the plateau on capability
Which, honestly, is fine. A lot of juice to squeeze in efficiency and even if models got zero more capable, making the capability that is already here cheaper is a huge win for everyone (except Nvidia)
Switching models is _very_ expensive in compute (you have to rerun everything from the beginning), and highly variable in cost. Cursor tried doing this for awhile, but inconsistent performance/usage means most users turned it off and pick models specifically.
The old "the bigger number is better", GPT announces model 6.1, the obvious thing to do is to announce Gemini 27, and after that Claude 3000, then a flute album.
Chinese model pressure. Many of my SWE friends switched to Chinese models. I also use QWEN and GLM for many of the api requiring projects and dropped OpenAI and Anthropic. The only reason was the cost.
What I don't understand is how much people have to say about every single one. Aren't we at the diminishing returns stage yet? Is there really that much to discuss?
I do wonder if people switch back and forth between primary models (GPTvsClaude) that it may be a better idea to simply keep releasing updates as soon as possible in order to keep users from bouncing back and forth.
I love free market competition. We're getting insane advancements every day. I remember when llms used to cost an arm and a leg for decent intelligence
This is great. But maybe part of the motivation is that 6-Sol wasn't as good as initially advertised so they needed to tweak it. I felt a clear degradation in quality in some simple refactoring tasks vs 5.6-Sol.
I wish they'd list the environmental cost. My employer has an unlimited AI budget so I don't care about using Astra if it's just more profit for OpenAI. I care more if it actually uses 5x more energy.
I don't understand the point of this, why just now when it comes to llms. Why wasn't anyone enraged with the environmental costs of kids playing video games. I would not be surprised the environmental cost of that is an order of magnitude bigger than what llms have.
Given that the number one cost of inference is memory and compute, and the incremental cost of each is energy, cost per inference is roughly proportional to energy consumption.
I have played around a little bit with fixing some rigging problems and was impressed, but Opus even warned me it was bad at animations cause it can only really grab screenshots to process static content.
I see where you are coming from. But 6.1 Sol seems like a new frontier in pricing, not intelligence. I do think the deceleration stuff was mostly bluster, but I don't think this release in particular contradicts it too much.
Let's all boycott and move to Claude until they release 6.1 Astra. I don't like to be teased.
When is the alleged "safety" concern satisfied? Does this mean releasing new capability to consumers is going to get a lot slower? Lower price for 6 Astra capability via this 6.1 Sol is exciting, but that is because of Astra capability not merely the low price point.
When do we get the next jump in capability? When is 6.1 Astra released?
Weren't there headlines just yesterday that they weren't releasing this due to safety concerns?
GPT-6.1 Astra is what those headlines referred to. This is GPT-6.1 Sol.
"no homerS -- we're allowed to have one"
https://amphetamem.es/meme?id=the-simpsons_06_12_71&text=We%...
That was 6.1 Astra. And I'm assuming it's being tabled because it still doesn't match Opus 5.5.
This is a decent win though, if it really is better. 6-sol was really no good, at least in my work.
6 Sol was worse than 5.6 Sol from my own experiences. Far worse.
Will see if this remedies things.
Yup, same experience here. I used it for one day, spent the next day fixing its lousy code, then went back to 5.6.
API price cuts were obvious once they made their announcement changing how usage is counted.
These moves all make sense when you take into account the enterprise market.
https://news.ycombinator.com/item?id=49889873
Shots fired, half the price of Opus 5.5.
Wasn't 6 released like last week? I can't keep up anymore.
Yes but it was underwhelming, so they seem to have rushed 6.1 Sol out. Also Opus 5.5 may have spooked them too.
Do you need to? Do you always keep up with all the version bumps on the software you use?
It was so underwhelming that it didn't even make it to chatgpt chat interface
Ominous for the industry and investors that token price is becoming the main battleground. Could be Anthropic's rationale for IPOing this year.
Great for the consumer.
I remember when bandwidth was super expensive and now it’s dirt cheap.
China will do to llms what they did to german cars
Why make a new account to post this comment?
It's not even anything controversial..
Another piece of evidence on the pile that the sudden panic and desire to "slow down" is because they're hitting the plateau on capability
Which, honestly, is fine. A lot of juice to squeeze in efficiency and even if models got zero more capable, making the capability that is already here cheaper is a huge win for everyone (except Nvidia)
If these models are so smart, can't _they_ select the right model for each task?
the right model for the task is the one that transfers the maximum amount of USD from your pocket to the provider's bank account.
No because then I'll go to the competition.
Why don't you simply ask the respective model which model is best for a specific task? :-)
Because it is more work?
Switching models is _very_ expensive in compute (you have to rerun everything from the beginning), and highly variable in cost. Cursor tried doing this for awhile, but inconsistent performance/usage means most users turned it off and pick models specifically.
I guess the question is, does the Dunning Krueger effect apply to models? The dumb ones might think they're up to the task.
What's driving the increase in release cadence here? We seem to get new models every week or so now, is this RSI?
No.
Wanting to have the newer model than the competitor, presumably.
The old "the bigger number is better", GPT announces model 6.1, the obvious thing to do is to announce Gemini 27, and after that Claude 3000, then a flute album.
Response to DeepSeek’s technical paper and competition.
What's that in summary?
No, we're pacing ourselves to have the time to evaluate the impact each new model could have, obviously.
Chinese model pressure. Many of my SWE friends switched to Chinese models. I also use QWEN and GLM for many of the api requiring projects and dropped OpenAI and Anthropic. The only reason was the cost.
Probably just the singularity, no big deal
Its a news cycle more than anything, and its ONLY going to get much, much worse. Daily releases, or multiple daily, 30-45, by EOY. Welcome to RSI!
Competition
What I don't understand is how much people have to say about every single one. Aren't we at the diminishing returns stage yet? Is there really that much to discuss?
I do wonder if people switch back and forth between primary models (GPTvsClaude) that it may be a better idea to simply keep releasing updates as soon as possible in order to keep users from bouncing back and forth.
Anthropic’s IPO?
New models are distill from the actual unrelease frontier models. They are just giving us better checkpoints.
The initial response to 6 Sol was bad, and Opus 5.5 was definitely winning the public vibes war. Makes sense to rush something out
Aka "we made an oopsie last week and released what should have been called GPT 6 Terra with the name GPT 6 Sol"
It's relentless, isn't it?
Astra is a pretty impressive model. Excited to try this.
I love free market competition. We're getting insane advancements every day. I remember when llms used to cost an arm and a leg for decent intelligence
This is great. But maybe part of the motivation is that 6-Sol wasn't as good as initially advertised so they needed to tweak it. I felt a clear degradation in quality in some simple refactoring tasks vs 5.6-Sol.
Guys, are we slowing down yet?
I wish they'd list the environmental cost. My employer has an unlimited AI budget so I don't care about using Astra if it's just more profit for OpenAI. I care more if it actually uses 5x more energy.
I don't understand the point of this, why just now when it comes to llms. Why wasn't anyone enraged with the environmental costs of kids playing video games. I would not be surprised the environmental cost of that is an order of magnitude bigger than what llms have.
Given that the number one cost of inference is memory and compute, and the incremental cost of each is energy, cost per inference is roughly proportional to energy consumption.
A night of no sleep this one will be.
Okay, now price cut 6 Sol (and rename it to Terra again).
GPT-6 Sol released a week ago. Shortest model life ever?
Taking GPT-6 "Sol" outside behind the shed and giving it a merciful end is about the best outcome possible.
Huge misstep releasing it.
Bro, I'm a visual thinker
Sorry, I'm GenX. Growing up they showed us "Old Yeller" in the school gym every year like that was some kind of treat.
I wonder if releasing this soon sort of validates the rumor that Sol 6 was just the Terra model they bumped up and slashed the price.
Then Opus 5.5 caught them off guard and now they're actually releasing the correct sized model.
Looking at the token prices, if this is half as good as 6-Astra for 3D model creation in Blender, it's going to be an absolute game changer.
Opus 5.5 is definitely better at coding, but nothing even comes close to 6-Astra for work in 3D graphics...
How is it with animations?
I have played around a little bit with fixing some rigging problems and was impressed, but Opus even warned me it was bad at animations cause it can only really grab screenshots to process static content.
This is the actual big announcement. 50% cheaper cache than GPT-6 Sol will get you far more mileage on Codex.
Exactly half as expensive as Opus 5.5 in every API pricing metric
So yesterday we were consumed with how this was being delayed because of safety, yada yada.
Guess not?
Astra 6.1, this is Sol 6.1
That model was implied to be GPT 6.1 Astra, not Sol.
I see where you are coming from. But 6.1 Sol seems like a new frontier in pricing, not intelligence. I do think the deceleration stuff was mostly bluster, but I don't think this release in particular contradicts it too much.
I can blow through my weekly on astra in a few hours; hopefully this really is as good.
Cache is priced at $0.1/M, 50% as sol 6 and sonnet 5.5.
$2/10 is pretty cheap for a frontier model...
I stopped using LLMs. I shit you not. My life got better.
So when does Anthropic answer? Tomorrow?
You live in a ping-pong.
Why they are not even benchmark model against Anthropic or anybody ?
GPT 6.0 Sol was so terrible—I wonder if 6.1 Sol will be good?
Let's all boycott and move to Claude until they release 6.1 Astra. I don't like to be teased.
When is the alleged "safety" concern satisfied? Does this mean releasing new capability to consumers is going to get a lot slower? Lower price for 6 Astra capability via this 6.1 Sol is exciting, but that is because of Astra capability not merely the low price point.
When do we get the next jump in capability? When is 6.1 Astra released?
The real announcement is the ultra fast mode ... Astra at 300t/s is insane!
Still not available to me
Are you guys in dev day? did they start?
didn't 6 sol just come out a couple weeks ago?