How Close Are We to Robots That Can Do Anything? | Sergey Levine, Physical Intelligence

What will it take to build robots that can do almost anything? Sergey Levine, co-founder of Physical Intelligence, joins South Park Commons Partner Aditya Agarwal to explore how AI is bringing us closer to truly general-purpose robots. They get into how Physical Intelligence is building foundation models that allow robots to learn new skills, follow complex instructions, and perform tasks they've never been explicitly trained to do. Sergey also breaks down the evolution from π0 to π0.7, and why teaching robots to reason is such a big step forward. The conversation also covers why robotics needs a different approach to training data, how robots could eventually learn from their own mistakes, and why Sergey believes solving the hardest problems in robotics might actually require solving all of them at once. 1. Sergey Levine:   / sergey-levine-5a31a24   2. Aditya Agarwal:   / adityaagarwal3   3. South Park Commons:   / southparkcommons   Apply to SPC: https://www.southparkcommons.com/apply Chapters: 00:00:28 - From Video Games to Robotics: Sergey Levine's Journey 00:04:24 - Founding Physical Intelligence: Why the Timing and Team Mattered 00:06:30 - Inside Pi Zero: Building a Foundation Model for Robots 00:09:37 - From Pi 0.5 to Pi 0.7: Teaching Robots to Reason and Generalize 00:16:45 - What Makes a Great Robotics Researcher? 00:21:10 - Solving Robotics' Data Problem and Building Learning Feedback Loops 00:28:04 - The Future of Robotics: General-Purpose AI vs. Specialized Robots 00:33:24 - World Models, Data Strategy, and Building a Robotics Research Culture