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...
Isn't that the case with every new tech. There was a time in which people tried to cook everything in a microwave
YC is wrong about LLMs for chip design
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Re: YC is wrong about LLMs for chip design
#42YC is just spraying & praying AI, like most investors
Re: YC is wrong about LLMs for chip design
#43They 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...
please dont post a link that is behind a paywall !!
It is a registration wall I think.
Re: YC is wrong about LLMs for chip design
#44YC is just spraying & praying AI, like most investors
And liable to make money at it, on a "greater fool" basis - a successful sale (exit) is not necessarily a successful, profitable company ...
Re: YC is wrong about LLMs for chip design
#45Earlier quoted context omitted.
Isn't that the case with every new tech. There was a time in which people tried to cook everything in a microwave
Microwave sellers did not become trillion dollar companies off that hype
Re: YC is wrong about LLMs for chip design
#46They 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...
Re: YC is wrong about LLMs for chip design
#47This is not my domain so my knowledge is limited, but I wonder if the chip designers have some sort of a standard library of ready to use components. Do you have to design e.g. ALU every time you design a new CPU or is there some standard component to use? I think having a proven components that can be glued on a higher level may be the key to productivity here. Returning to LLMs. I think the problem here may be that…
Re: YC is wrong about LLMs for chip design
#48I agree with most of the technical points of the article. But there may still be value in YC calling for innovation in that space. The article is correctly showing that there is no easy win in applying LLMs to chip design. Either the market for a given application is too small, then LLMs can help but who cares, or the chip is too important, in which case you'd rather use the best engineers. Unlike software, we're not…
seen here as well when george-hotz attempts to overthow the chip companies with his plan for an ai chip https://geohot.github.io/blog/jekyll/update/2021/06/13/a-bre... little realizing the complexity involved. to his credit, he quickly pivoted into a software and tiny-box maker.
Re: YC is wrong about LLMs for chip design
#49Earlier quoted context omitted.
You find it hard to believe that non-deterministic black boxes at the core of complex systems are eager to put non-deterministic black boxes at the core of complex systems?
Can you actually like follow through with this line? I know there are literally tens of thousands of comments just like this at this point, but if you have chance, could you explain what you think this means? What should we take from it? Just unpack it a little bit for us.
Re: YC is wrong about LLMs for chip design
#50Earlier quoted context omitted.
You find it hard to believe that non-deterministic black boxes at the core of complex systems are eager to put non-deterministic black boxes at the core of complex systems?
Can you actually like follow through with this line? I know there are literally tens of thousands of comments just like this at this point, but if you have chance, could you explain what you think this means? What should we take from it? Just unpack it a little bit for us.
I’d disagree, though: humans are still easier to predict and understand (and trust) than AI, typically.