Sergey Levine - Building LLMs for the Physical World - [Invest Like the Best, EP.465]

About this episode

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…

People in this episode

Host: Patrick O'Shaughnessy

Guest: Sergey Levine

Topics covered

• robotics
• machine learning
• artificial intelligence
• human-robot interaction
• generalization in robotics

Keywords

• robotic foundation models
• embodied systems
• generalization
• human trust
• robotics challenges

Sponsors

Ramp, Vanta

Mentioned in this episode

Organizations: UC Berkeley, Physical Intelligence, Colossus

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