Sergey Levine: evaluation

Transcript context

…Let's talk about robotics. Before I pepper you with questions, I'm wondering if you can give the audience a summary of where Physical Intelligence is at right now. You guys started a year ago. What does the progress look like? What are you guys working on? Physical Intelligence aims to build robotic foundation models. That basically means general-purpose models that could in principle control any robot to perform any task. We care about this because we see this as a very fundamental aspect of the AI problem. The robot is essentially encompassing all AI technology. If you can get a robot that's truly general, then you can do, hopefully, a large chunk of what people can do. Where we're at right now is that we've kind of gotten to the point where we've built out a lot of the basics. Those basics actually are pretty cool. They work pretty well. We can get a robot that will fold laundry and that will go into a new home and try to clean up the kitchen. But in my mind, what we're doing at Physical Intelligence right now is really the very, very early beginning. It's just putting in place the basic building blocks, on top of which we can then tackle all these really tough problems. What's a year-by-year vision? One year in, I got a chance to watch some of the robots, they can do pretty dexterous tasks like folding a box using grippers. It's pretty hard to fold the box even with my hands. If you had to go year by year until we get to the full robotics explosion, what is happening every single year? What is the thing that needs to be unlocked, et cetera?…

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