Demis Hassabis

I think AI will help with all of that over the next 10 years that will far outweigh the energy that it uses today.

Wow, okay.

Well, I mean, 10 years, even 10 weeks is a lifetime in AI.

The Brownian field of 10 years for you.

But I do feel like if we will have AGI in the next 10 years, full AGI, and I think that will usher in a new golden era of science, so a kind of new renaissance.

And I think we'll see the benefits of that right across from energy to human health.

Sure.

Well, look, I felt that it's sort of a tradition, I think, of Nobel Prize lectures that you're supposed to be a little bit provocative.

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.