Levine: Foundation Models Reduce Uncertainty Before Scaling Robot Hardware Manufacturing
Sergey Levine · World's Top Researcher on AI, LLMs, and Robot Intelligence · Invest Like The Best · Mar 31, 2026 · at 55:26
Sergey Levine, co-founder of Physical Intelligence and UC Berkeley professor, discusses the relationship between software models and scaling physical robot production.
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“So, yes, making a robot at scale is difficult. Making a robot at scale is even more difficult if you don't know what kind of software's gonna run it afterwards, and you're not even sure whether it's the right kind of robot. So, I think one of the really valuable things we can get out of general purpose, ah, AI tools, like robotic foundation models, is the ability to, like, get a lot of the other stuff figured out, so that at least, like, some of the uncertainty goes away, so that when you scale things up, You have some confidence that this is like really gonna work.”
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