IMO, the area where AI is going to be most useful over the next couple years is in developing manufacturing processes top to bottom. Maybe a million token budget is too small, but something like "design me a sneaker and all the equipment to manufacture it autonomously".
Karpathy’s Pelican
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Re: Karpathy’s Pelican
#12It's difficult to think in exponentials. But this demonstrates we're a couple orders of magnitude away from generating 1:1 hyper-personalized entertainment and media for individuals, rather than the masses.
Judging by the Seedance 2.5 demos today, I’d say it’s not that many orders of magnitude away now.
Re: Karpathy’s Pelican
#13I'm sad that Andrej Karpathy went from being one of the most reasonable, trusted, and credible voices in AI to peddling marketing slop for Anthropic. 8 months ago, he was (very reasonably) claiming that reliable agents are at least a decade away, but this now goes against the interest of his employer, so the narrative has been changed.
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Re: Karpathy’s Pelican
#14I'd rather have them battle on the topic "Who builds a better Google Wave for LLM chats" to explore the space of how AI studios could be. "Getting Started with Google Wave": https://www.youtube.com/watch?v=eKUAqNGVwX0
i remember this failing, but this product looks pretty useful in 2026
notion isn't too far off
wave failed for weird google organizational reasons far more than anything inherent to the product or tech
Re: Karpathy’s Pelican
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Re: Karpathy’s Pelican
#16IMO, the area where AI is going to be most useful over the next couple years is in developing manufacturing processes top to bottom. Maybe a million token budget is too small, but something like "design me a sneaker and all the equipment to manufacture it autonomously".
Gotta love when a techbro just says some complete nonsense like this with total confidence
Re: Karpathy’s Pelican
#17Earlier quoted context omitted.
i remember this failing, but this product looks pretty useful in 2026
It looked pretty useful in 2009. Failing to push it was baffling then too.
It was open sourced as Apache Wave when Google shut it down.
Years later Apache moved it to read only because of low community activity.
The archived git repo on GitHub remains available to clone and revive as a fork.
Re: Karpathy’s Pelican
#18Regarding the argument about LLMs having difficulties auditing their work:
I wonder whether we are entering the era of throwaway software. Just like cheap plastics and improved processes has enabled us to rapidly manufacture anything we want for a very low price, maybe LLMs give us the same for software. Produce it cheaply and if it breaks throws it away and reproduce it.
Re: Karpathy’s Pelican
#19I'm sad that Andrej Karpathy went from being one of the most reasonable, trusted, and credible voices in AI to peddling marketing slop for Anthropic. 8 months ago, he was (very reasonably) claiming that reliable agents are at least a decade away, but this now goes against the interest of his employer, so the narrative has been changed.
> 8 months ago, he was (very reasonably) claiming that reliable agents are at least a decade away, but this now goes against the interest of his employer, so the narrative has been changed.
Or maybe over these 8 months agents improved a lot? You know, few years ago many AI experts predicted that things we are routinely doing now with AI are decades away. I mean how can you look at this post and not be impressed? It's insane what AI is currently capable of.
Re: Karpathy’s Pelican
#20you don't really need screenshots if you have an engine expressive enough for the scene generation while ensuring the visual appearance of the engine output itself is feasible.
that's why these things are actually pretty good at openscad/freecad/F360 mcps , the visual reality is enforced and guaranteed by rigor in the interpretation engine that is anchored to human physical reality.