Demis Hassabis

I actually foresee a world, and I think a lot about this having started in the games industry as a game designer and programmer in the 90s, is that I think the future of entertainment, this is what we're seeing is the beginning of the future of entertainment.

Maybe some new genre or new art form

and where there's a bit of co-creation.

I still think that you'll have the top creative visionaries.

They will be creating these compelling experiences and dynamic storylines, and they'll be of higher quality even if they're using the same tools than the everyday person can do.

But also, so millions of people will

potentially dive into those worlds but maybe they'll also be able to create co-create certain parts of those worlds and perhaps that you know the the the main creative uh person is almost an editor of that world so that's the kind of things i'm foreseeing in the next few years and i'd actually like to explore ourselves with with with with technologies like genie

I am.

So I also run Isomorphic, which is our spin-out company to revolutionize drug discovery, building on our AlphaFold breakthrough in protein folding.

And of course, knowing the structure of a protein

is only one step in the drug discovery process.

So isomorphic, you can think of it as building many adjacent alpha folds to help with things like designing chemical compounds that don't have any side effects, but bind to the right place on the protein.

And I think we could reduce down drug discovery from taking years, sometimes a decade to do, down to maybe weeks or even days over the next 10 years.

We're building up the platform right now, and we have great partnerships with Eli Lilly.

I think you had the CEO speaking earlier, and Novartis, which are fantastic, and our own internal drug programs.

And I think we'll be entering sort of preclinical phase sometime next year.

That's right, and we're working on cancers and immunology and oncology and we're working with places like MD Anderson.

Yeah, it's a great question.

Actually, for the moment, and I think probably for the next five years or so, we're building what maybe you could call hybrid models.

So AlphaFold itself is a hybrid model where you have the learning component, this probabilistic component you're talking about, which is based on neural networks and transformers and things.