Demis Hassabis

So how could one possibly find the right solution or predict the next step?

But it turns out that it is possible.

And of course, reality in nature does do it.

right?

Proteins do fold.

So that gives you confidence that there must be, if we understood how physics was doing that, in a sense, then, and we could mimic that process, i.e.

model that process, it should be possible on our classical systems is basically what the conjecture is about.

Yes, exactly.

I mean, fluid dynamics, Navier-Stokes equations, these are traditionally thought of as very, very difficult, intractable kind of problems to do on classical systems.

They take enormous amounts of compute, you know, weather prediction systems, you know, these kind of things all involve fluid dynamics calculations.

And, but again, if you look at something like VO, our video generation model, it can model liquids quite well, surprisingly well.

And materials, specular lighting.

I love the ones where, you know, there's people who generate videos where there's like clear liquids going through hydraulic presses and then it's being squeezed out.

I used to write...

physics engines and graphics engines in my early days in gaming.

And I know it's just so painstakingly hard to build programs that can do that.

And yet somehow these systems are reverse engineering from just watching YouTube videos.

So presumably what's happening is it's extracting some underlying structure around how these materials behave.

So perhaps there is some kind of lower dimensional manifold that can be learned if we actually fully understood what's going on under the hood.

That's maybe true of most of reality.