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Andrej Karpathy: Software in the era of AI [video]

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Re: Andrej Karpathy: Software in the era of AI [video]

#52
I love the "people spirits" analogy. For casual tasks like vibecoding or boiling an egg, LLM errors aren't a big deal. But for critical work, we need rigorous checks—just like we do with human reasoning. That's the core of empirical science: we expect fallibility, so we verify. A great example is how early migration theories based on pottery were revised with better data like ancient DNA (see David Reich). Letting LLMs judge each other without solid external checks misses the point—leaderboard-style human rankings are often just as flawed.

Re: Andrej Karpathy: Software in the era of AI [video]

#55
post #51

It’s fascinating to think about what true GUI for LLM could be like. It immediately makes me think a LLM that can generate a customized GUI for the topic at hand where you can interact with in a non-linear way.

I love this concept and would love to know where to look for people working on this type of thing!

Re: Andrej Karpathy: Software in the era of AI [video]

#56
post #51

It’s fascinating to think about what true GUI for LLM could be like. It immediately makes me think a LLM that can generate a customized GUI for the topic at hand where you can interact with in a non-linear way.

Like a HyperCard application?

Re: Andrej Karpathy: Software in the era of AI [video]

#57
post #51

It’s fascinating to think about what true GUI for LLM could be like. It immediately makes me think a LLM that can generate a customized GUI for the topic at hand where you can interact with in a non-linear way.

Fun demo of an early idea was posted by Oriol just yesterday :)

https://x.com/OriolVinyalsML/status/1935005985070084197

Re: Andrej Karpathy: Software in the era of AI [video]

#58
post #51

It’s fascinating to think about what true GUI for LLM could be like. It immediately makes me think a LLM that can generate a customized GUI for the topic at hand where you can interact with in a non-linear way.

My friend Eric Pelz started a company called Malleable to do this very thing: https://www.linkedin.com/posts/epelz_every-piece-of-software...

Re: Andrej Karpathy: Software in the era of AI [video]

#59
I find Karpathy's focus on tightening the feedback loop between LLMs and humans interesting, because I've found I am the happiest when I extend the loop instead.

When I have tried to "pair program" with an LLM, I have found it incredibly tedious, and not that useful. The insights it gives me are not that great if I'm optimising for response speed, and it just frustrates me rather than letting me go faster. Worse, often my brain just turns off while waiting for the LLM to respond.

OTOH, when I work in a more async fashion, it feels freeing to just pass a problem to the AI. Then, I can stop thinking about it and work on something else. Later, I can come back to find the AI results, and I can proceed to adjust the prompt and re-generate, to slightly modify what the LLM produced, or sometimes to just accept its changes verbatim. I really like this process.

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