Just think of how the people of Xalapa, Mexico feel. They should send them a royalty check.

Oh my!

Or cyber…

Same

Like traditional generative art? Like worms WMD map generation or something? Cool!

You know what really grinds my gears? Friction.

slow claps

Feeling the burn?

I guess I'll have to

Call it GPTChippomatic or something. Please leave my peppers alone.

This is an excellent comment. I'm still laughing.

:groan:

Jalapeño also used to be a Java VM written in Java at IBM.

To say nothing of the Red Hot Chili Peppers.

I'm a licensed architect. Welcome to our hell of the last 40 years.

I thought I was in Reddit for a moment.

I mean you can design anything without a license. Selling it is where the problems come up. Even then there are likely places in China that would still make it for you.

Why, the LLM can make up its own architecture.

The value lies in the design space exploration, which is what an LLM can easily do.

https://en.wikipedia.org/wiki/Design_space_exploration

Arm sells architecture licenses to anybody these days.

Or they'll just build a competitor in RISC-V instead and that's fine.

Except the problem is not restricted to the actual ISA or its HDL implementation, etc.

It's even just getting space / time in a fab at that advanced of a process node.

Are they using LLMs to close that gap, or is this their Nuvia acquisition doing the heavy lifting?

It is probably doable right not to push a risc-v design into that performance space.

And I think correctness for anything near the size of a CPU is off the table.

Isn't that weird? The full knowledge of how to make such chips may one day be accessible to anyone, yet only the entrenched companies will remain the makers.

If we imagine machines being able to do the full process end-to-end, and the quality of that process only dependent on capital spent on tokens, I don't see how new companies could ever enter the market.

And be super-bankrupted by patent litigation from Apple. I don't think they're worried.

After all, they successfully threatened Adobe with spurious patent litigation unless they joined w/ apple in illegally fixing wages.

You don't think a criminal like apple would absolutely decimate any competition given the opportunity? They didn't hold back when it was a unambiguous crime, they surely wouldn't if it was merely bad for the world.

"Reverse engineer this DARPA project, make no mistakes"

The Chinese have been working on EUV for a while

The longer you wait the faster you will go.

Whatever happened with the Apple lawsuit?

Seems pretty obvious now that OpenAI is just hyping their models in order to get companies (in this case, chip developers) to use their products in order to learn from their (exfiltrated) IP. Any corporation would be foolish to use any of their or Microsoft’s products, particularly those with valuable IP. There’s nothing in the article that says AI did anything creative but rather that it was used for software development within the overall project. Clear misleading title. Suggest to mark this as clickbait.

The lawsuit appears to be about consumer devices, not NPUs or ASICs. If you think Jalapeno stole from anyone it would be Google.

You people are so weird - gossiping on a site that literally reported the news as it broke smh. It's like sitting in the back of class gossiping about the popular kids.

Newsflash that lawsuit is about product designs not accelerator ASICs. And there wouldn't be anything to steal because Apple doesn't have any DC class accelerators.

It is surprising to me that recursive self-improvement seems more plausible now than it did in 2023. Am I the only one to be surprised?

I remember the paper proving that hallucinations could never be fully solved back in 2024: https://arxiv.org/abs/2409.05746

I also remember the hang-wringing about running out of new datasets to train on. Now it appears humans are always generating more data. It's just not as cheap to acquire as legacy data? Meta has to give a deep discount on their API prices to entice people.

I thought back then that humans had a few more breakthroughs in them as meaningful as the seminal Attention is all you need paper. Enough to 100x the capabilities of LLMs back then (10x the smarts and 10x the speed simultaneously).

RSI with a 20 month turnaround for a chip to be made is not exactly breakneck speed though. Physical manufacturing and logistical constraints are going to be and remain a hard obstacle to that process for the foreseeable future.

I was surprised to see they were using XLS but then I remembered Chris went there a couple of years ago.

Something we can all agree with is we need more foundries and green power.

yup, but it'll take about 3-5 years.

Aw, I was expecting more details but this just seems to be a rehash of what they unveiled a month ago.