Google DeepMind CEO Demis Hassabis on AI, Creativity, and a Golden Age of Science | All-In Summit

**SPEAKER_1** (0:01)
A genius who may hold the cards of our future.

**SPEAKER_2** (0:05)
CEO of Google DeepMind, which is the engine of the company's artificial intelligence.

**SPEAKER_1** (0:09)
After his Nobel and a knighthood from King Charles, he became a pioneer of artificial intelligence.

**Demis Hassabis** (0:17)
We were the first ones to start doing it seriously in the modern era. AlphaGo was the big watershed moment, I think, not just for DeepMind and my company, but for AI in general. This was always my aim with AI from a kid, which is to use it to accelerate scientific discovery.

**SPEAKER_4** (0:32)
Ladies and gentlemen, please welcome Google DeepMind's Demis Hassabis.

**SPEAKER_5** (0:43)
Welcome.

**Demis Hassabis** (0:44)
Great to be here.

**SPEAKER_5** (0:45)
Thanks for following Pucker, Mark Cuban, et al. First off, congrats on winning the Nobel Prize.

**Demis Hassabis** (0:52)
Thank you.

**SPEAKER_6** (0:54)
Thanks.

**SPEAKER_5** (0:58)
For the incredible breakthrough of Alpha Fold, maybe you may have done this before, but I know everyone here would love to hear your recounting of where you were when you won the Nobel Prize. How did you find out?

**Demis Hassabis** (1:09)
Well, it's a very surreal moment, obviously. Everything about it is surreal. The way they tell you, they tell you like 10 minutes before. It all goes live.
You're sort of shell shocked when you get that call from Sweden. It's the call that every scientist dreams about. Then the ceremony is a whole week in Sweden with the Royal Family. It's amazing. Obviously, it's been going for 120 years. The most amazing bit is they bring out this Nobel book from the vaults in the safe, and you get to sign your name next to all the other greats. It's quite an incredible moment, sort of leafing back to the other pages and seeing Feynman, and Marie Curie, and Einstein, and Niels Bohr, and you just carry on going backwards, and you get to put your name in that book. It's incredible.

**SPEAKER_5** (1:54)
Did you have an inkling you had been nominated and that this might be coming your way?

**Demis Hassabis** (1:58)
Well, you hear rumors. It's amazingly locked down actually in today's age, how they keep it so quiet, but it's sort of like a national treasure for Sweden. And as you hear, maybe Alpha Fold is the kind of thing that would be worthy of that recognition and it has, they look for impact as well as the scientific breakthrough impact in the real world. And that can take 20, 30 years to arrive. So you just never know how soon it's going to be and whether it's going to be at all. So it was a surprise.

**SPEAKER_5** (2:30)
Well, congrats. Yeah, thank you. And thank you. You let me take a picture with it a few weeks ago. That's something I'll cherish.
What is DeepMind within Alphabet? Alphabet is a sprawling organization, sprawling business units. What is DeepMind? What are you responsible for?

**Demis Hassabis** (2:46)
Well, we sort of see DeepMind now and Google DeepMind as it's become. We sort of merged a couple of years back, all of the different AI efforts across Google and Alphabet, including DeepMind, put it all together, the kind of bringing the strengths of all the different groups together into one division. And really, the way I describe it now is that we're the engine room of the whole of Google and the whole of Alphabet. So Gemini, our main model that we're building, but also many of the other models that we also build, the video models and interactive world models, we plug them in all across Google now. So pretty much every product, every surface area has one of our AI models in it. So billions of people now interact with Gemini models, whether that's through AI overview, AI mode, or the Gemini app.
And that's just the beginning. We're kind of incorporating into workspace, into Gmail and so on. So it's a fantastic opportunity really for us to do cutting edge research, but then immediately ship it to billions of users.

**SPEAKER_5** (3:45)
And how many people, what's the profile? Are these scientists, engineers? What's the makeup of your organization?

**Demis Hassabis** (3:50)
There's around 5,000 people in my org, in Google DeepMind, and it's predominantly, I guess 80% plus engineers and PhD researchers. So yeah, about 3,000, 3,000, 4,000.

**SPEAKER_5** (4:02)
So there's an evolution of models, a lot of new models coming out and also new classes of models. The other day, you released this Genie World Model.

**Demis Hassabis** (4:11)
Yes.

**SPEAKER_5** (4:11)
So what is the Genie World Model? And I think we got a video of it. Is it worth looking at and we can talk about it live?