Demis Hassabis

And I wanted to follow that tradition.

What I was talking about there is if you take a step back and you look at all the work that we've done, especially with the Alpha X projects.

So I'm thinking AlphaGo, of course, AlphaFold.

What they really are is we're building models of very combinatorially high dimensional spaces.

that if you try to brute force a solution, find the best move and go, or find the exact shape of a protein, and if you enumerated all the possibilities, there wouldn't be enough time in the time of the universe.

So you have to do something much smarter.

And what we did in both cases was build models of those environments.

And that guided the search in a smart way.

And that makes it tractable.

So if you think about protein folding, which is obviously a natural system, you know, why should that be possible?

How does physics do that?

You know, proteins fold in milliseconds in our bodies.

So somehow physics solves this problem that we've now also solved computationally.

And I think the reason that's possible is that in nature, natural systems have structure because they were subject to evolutionary processes that shape them.

And if that's true, then you can maybe learn what that structure is.

Yeah, I sometimes call it survival of the stabilist or something like that because, of course, there's evolution for life, living things.

But there's also, if you think about geological time, so the shape of mountains, that's been shaped by weathering processes.

right, over thousands of years.

But then you can even take it cosmological, the orbits of planets, the shapes of asteroids.

These have all been survived kind of processes that have acted on them many, many times.