Sergey Levine - Building LLMs for the Physical World - [Invest Like the Best, EP.465]
My guest today is Sergey Levine, a professor at UC Berkeley and co-founder of Physical Intelligence. The company is building robotic foundation models designed to control any embodied system to do any task in any environment. Sergey argues that solving robotics at full generality is the right path, and that building systems that learn across many robots, environments, and tasks may be the more scalable approach than building narrow specialists. We discuss how these models can perform new tasks without being trained on them directly, and why everyday human actions remain the hardest problems in the field. He also reflects on how human trust and acceptance may matter as much as technical breakthroughs in determining when robots become part of daily life. Please enjoy my conversation with Ser
Introduction
PatrickMy guest today is Sergey Levine, one of the co-founders and researchers at Physical Intelligence. As a disclaimer, I'm an investor in Physical Intelligence because I believe it's one of the most important companies tackling the problem of robotics. As you'll hear us discuss today, robotics has what I would call a scarecrow problem. All of these amazing physical devices are becoming ever more possible in all sorts of cool permutations, but what they all really need is an intelligence – a brain.
And that is what they're building at Physical Intelligence. They're trying to develop foundation models that can make any physical robot do any task in any environment. The nature of our conversation today is all of the problems facing robotics, and all of the promise of solving these problems across the world. I hope you enjoy this great conversation with Sergey Levine.
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