![Sergey Levine - Building LLMs for the Physical World - [Invest Like the Best, EP.465]](https://megaphone.imgix.net/podcasts/fdcd4328-2c77-11f1-a72b-977309fd08f1/image/b1bb4368d6e13a4a804924681ffe3ab1.jpg?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress)
Sergey Levine discusses building robotic foundation models for versatile task performance in various environments.
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 Sergey Levine. For the full show notes, transcript, and links to mentioned content, check out the episode page here. ----- Become a Colossus member to get our quarterly print magazine and private audio experience, including exclusive profiles and early access to select episodes. Subscribe at colossus.com/subscribe. ----- Ramp’s mission is to help companies manage their spend…
Host: Patrick O'Shaughnessy
Guest: Sergey Levine
Ramp, Vanta
Organizations: UC Berkeley, Physical Intelligence, Colossus
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