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.
A PhD from a top university doesn't necessarily make someone a great robotics researcher.
What if the best way to solve a difficult problem is to make it even bigger?
Zero-shot generalization is one of the biggest ambitions in robotics.
Minus One is series about the winding journeys the world’s most interesting people take to becoming great—and what they do when figuring out a question we all face: What’s Next? Because before you launch at Zero, you have to figure out what to launch at Minus One. Hosted by South Park Commons Partners.
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