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YC is wrong about LLMs for chip design

(www.zach.be)
317 points laserduck | 2 comments | 16 Nov 24 14:07 UTC | HN request time: 0s | source
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fsndz ◴[16 Nov 24 17:05 UTC] No.42157451[source]▶
They want to throw LLMs at everything even if it does not make sense. Same is true for all the AI agent craze: https://medium.com/thoughts-on-machine-learning/langchains-s...
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marcosdumay ◴[16 Nov 24 17:24 UTC] No.42157567[source]▶
If feels like the entire world has gone crazy.

Even the serious idea that the article thinks could work is throwing the unreliable LLMs at verification! If there's any place you can use something that doesn't work most of the time, I guess it's there.

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deadbabe ◴[16 Nov 24 18:03 UTC] No.42157841[source]▶
This is typical of any hype bubble. Blockchain used to be the answer to everything.
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Mistletoe ◴[16 Nov 24 18:08 UTC] No.42157894[source]▶
What's after this? Because I really do feel the economy is standing on a cliff right now. I don't see anything after this that can prop stocks up.
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1. deadbabe ◴[16 Nov 24 18:17 UTC] No.42157988[source]▶
The post-quantum age. Companies will go post-quantum.
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2. namaria ◴[16 Nov 24 18:36 UTC] No.42158164[source]▶
I think the operators are learning how to hype-edge. You find that sweet spot between promising and 'not just there yet' where you can take lots of investments and iterate forward just enough to keep it going.

It doesn't matter if it can't actually 'get there' as long as people still believe it can.

Come to think about it, a socioeconomic system dependent on population and economic growth is at a fundamental level driven by this balancing act: "We can solve every problem if we just forge ahead and keep enlarging the base of the pyramid - keep reproducing, keep investing, keep expanding the infrastructure".