Demis Hassabis

to the extent that it can predict the next frames in a coherent way, that is a form of understanding, right?

Not in the anthropomorphic version of, it's not some kind of deep philosophical understanding of what's going on.

I don't think these systems have that.

But they certainly have modeled enough of the dynamics, you know, put it that way, that they can pretty accurately generate whatever it is, eight seconds of consistent video that by eye, at least, you know, at a glance, it's quite hard to distinguish what the issues are.

And imagine that in two or three more years time.

That's the thing I'm thinking about and how incredible that they will look.

given where we've come from, you know, the early versions of that one or two years ago.

And so the rate of progress is incredible.

And I think I'm like you, it's like a lot of people love all of the stand-up comedians and that actually captures a lot of human dynamics very well and body language.

But actually the thing I'm most impressed with and fascinated by is the physics behavior, the lighting and materials and liquids.

And it's pretty amazing that it can do that.

And I think that shows that it has some notion of at least intuitive physics, right?

How things are supposed to work intuitively, maybe the way that a human child would understand physics, right?

As opposed to, you know, a PhD student really being able to unpack all the equations.

It's more of an intuitive physics understanding.

Yes.

And it's very interesting, you know, even if you were to ask me five, ten years ago, I would have said, even though I was immersed in all of this, I would have said, well, yeah, you probably need to understand intuitive physics.

You know, like if I push this off the table, this glass, it will maybe shatter, you know, and the liquid will spill out.

Right.

So we know all of these things.