Sergey Levine

into the more cognitively demanding areas, into reasoning, into context, into planning, all that kind of stuff.

And that stuff will be important too.

Yeah.

Well, that's a very big question.

Yeah, let's try to unpack this a little bit.

I think there's a lot going on in there.

One thing that I would say is a really interesting technical problem, and I think that it's something where we'll see

perhaps a lot of really interesting innovation over the next few years is the question of representation for context.

So if you imagine the, like some of the examples you gave, like if you have a home robot that's doing something and needs to keep track,

As a person, there are certainly some things where you keep track of them very symbolically, like almost in language.

Like, you know, I have my checklist.

I'm going shopping and I, you know, at least for me, I can like literally visualize in my mind like my checklist.

Like, you know, pick up the yogurt, pick up the milk, pick up whatever.

And I'm not like picturing the milk shelf with the milk sitting there.

I'm just thinking like milk, right?

But then there's other things that are much more spatial, almost visual things.

When I was trying to get to your studio, I was thinking like, okay, here's what this street looks like.

Here's what that street looks like.

Here's what I expect the doorway to look like.

So representing your context in the right form that captures what you really need to achieve your goal and otherwise kind of discards all the unnecessary stuff, that's a really important thing.