Dwarkesh Patel

Things like that.

And we have some sense that we can...

teach our children things like this, even if we don't have some sense of what true morality is or everybody doesn't agree on that.

And maybe that's a reasonable target for AI as well.

The more things change, the more they stay the same also seems like a good capstone to the AI discussion because the AI discussion we were having was about how techniques which were invented even before the application to deep learning and backpropagation was evident are central to the progression of AI today.

So maybe that's a good place to wrap up the conversation.

Thank you for coming on.

My pleasure.

Today, I'm chatting with Sergey Levin, who is a co-founder of Physical Intelligence, which is a robotics foundations model company, and also a professor at UC Berkeley, and just generally one of the world's leading researchers in robotics, RL, and AI.

Sergey, thank you for coming on the podcast.

SERGEY LEVIN Thank you, and thank you for the kind introduction.

Let's talk about robotics.

So 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.

And what does the progress look like?

What are you guys working on?

And what's the year-by-year vision?

So one year in, now I got a chance to watch some of the robots, and they can do pretty dexterous tasks, like folding a box using grippers.

And it's like, I don't know, it's pretty hard to fold a 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?