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Comment by warbaker | Hacker News Reader

The article you linked is not an example of this happening. Google open-sourced the chip design method, and uses it in production for TPU and other chips.

https://github.com/google-research/circuit_training

https://deepmind.google/discover/blog/how-alphachip-transfor...

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It's an ongoing debacle with multiple people making extremely good arguments that Google overstated the results.

Yes, I know it's in TPUs and I said exactly that.

You simply can't take Google press at face value.

Google has responded to this "controversy" already:

https://x.com/JeffDean/status/1858540085794451906

https://arxiv.org/abs/2411.10053

Yes, I am aware. I didn't find Jeff's argument particularly convincing. Please note: I've worked personally with Jeff before and shared many a coffee with him. He's done great work and messed up a lot of things, too.

From your perspective, which arguments were not convincing, are you able to share why not?

Unironically "just trust me bro" is actually fine here. They're objectively right and you'll find they are when you do your painstaking analysis to figure it out.

> You simply can't take Google press at face value.

I think that's true for virtually every company and also for most people (in the context of published work)

Do you think that of most published scientific research?

Seems to be true. 'Published' scientific research, by its sheer social-dynamics (verging on highly toxic), is the academic equivalent of a pouty-girl vis-a-vis Instagram.

(academic-burnout resembles creator-burnout for similar reasons)

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