Demis Hassabis
π€ SpeakerAppearances Over Time
Podcast Appearances
And as we talked about before, I think in order for that to happen, I think that the shortest path I see that happening on now is these general multimodal models being eventually good enough. And maybe we're not very far away from that to sort of install on a robot. perhaps a humanoid robot with the cameras.
Now there's additional challenges of you've got to fit it locally or maybe on the local chips to have the latency fast enough and so on. But as we all know, just wait a couple of years and those systems that are state of the art today will fit on a little mobile chip tomorrow. So I think it's very exciting multimodal from that point of view, robotics, assistance.
Now there's additional challenges of you've got to fit it locally or maybe on the local chips to have the latency fast enough and so on. But as we all know, just wait a couple of years and those systems that are state of the art today will fit on a little mobile chip tomorrow. So I think it's very exciting multimodal from that point of view, robotics, assistance.
Now there's additional challenges of you've got to fit it locally or maybe on the local chips to have the latency fast enough and so on. But as we all know, just wait a couple of years and those systems that are state of the art today will fit on a little mobile chip tomorrow. So I think it's very exciting multimodal from that point of view, robotics, assistance.
And then finally, I think also for creativity, I think we're the first model in the world, Gemini 2.0, that you can try now in AI Studio that allows native image generation. So not calling a separate program, you know, in this L separate model, in our case, Imogen 3, you know, which you can try separately, but actually Gemini itself natively coming up in the chat flow of images.
And then finally, I think also for creativity, I think we're the first model in the world, Gemini 2.0, that you can try now in AI Studio that allows native image generation. So not calling a separate program, you know, in this L separate model, in our case, Imogen 3, you know, which you can try separately, but actually Gemini itself natively coming up in the chat flow of images.
And then finally, I think also for creativity, I think we're the first model in the world, Gemini 2.0, that you can try now in AI Studio that allows native image generation. So not calling a separate program, you know, in this L separate model, in our case, Imogen 3, you know, which you can try separately, but actually Gemini itself natively coming up in the chat flow of images.
And I think people seem to be really enjoying using that. So it's sort of like you're now talking to a multimodal chatbot And so you can get it to express emotions in pictures, or you can give it a picture and then tell it to modify it and then continue to work on it with word descriptions. Can you remove that background? Can you do this?
And I think people seem to be really enjoying using that. So it's sort of like you're now talking to a multimodal chatbot And so you can get it to express emotions in pictures, or you can give it a picture and then tell it to modify it and then continue to work on it with word descriptions. Can you remove that background? Can you do this?
And I think people seem to be really enjoying using that. So it's sort of like you're now talking to a multimodal chatbot And so you can get it to express emotions in pictures, or you can give it a picture and then tell it to modify it and then continue to work on it with word descriptions. Can you remove that background? Can you do this?
So this goes back to the earlier thing we said about programming or any of these creative things in a new workflow. I think we're just seeing the glimpse of that if you try out this new Gemini 2 experimental model of how that might look in image creation. And that's just the beginning. Of course, it will work with video and coding and all sorts of things.
So this goes back to the earlier thing we said about programming or any of these creative things in a new workflow. I think we're just seeing the glimpse of that if you try out this new Gemini 2 experimental model of how that might look in image creation. And that's just the beginning. Of course, it will work with video and coding and all sorts of things.
So this goes back to the earlier thing we said about programming or any of these creative things in a new workflow. I think we're just seeing the glimpse of that if you try out this new Gemini 2 experimental model of how that might look in image creation. And that's just the beginning. Of course, it will work with video and coding and all sorts of things.
We started DeepMind in London and still headquartered here for several reasons. I mean, this is where I grew up. That's what I know. It's where I had all the contacts that I had. But the competitive reasons were that we felt that the talent in the UK and in Europe was the coming out of universities was the equivalent of the top US ones.
We started DeepMind in London and still headquartered here for several reasons. I mean, this is where I grew up. That's what I know. It's where I had all the contacts that I had. But the competitive reasons were that we felt that the talent in the UK and in Europe was the coming out of universities was the equivalent of the top US ones.
We started DeepMind in London and still headquartered here for several reasons. I mean, this is where I grew up. That's what I know. It's where I had all the contacts that I had. But the competitive reasons were that we felt that the talent in the UK and in Europe was the coming out of universities was the equivalent of the top US ones.
Cambridge, my alma mater, and Oxford, they're up there with the MITs and Harvards and the Ivy Leagues. I think they're always in the top 10 there together on the university world tables.
Cambridge, my alma mater, and Oxford, they're up there with the MITs and Harvards and the Ivy Leagues. I think they're always in the top 10 there together on the university world tables.
Cambridge, my alma mater, and Oxford, they're up there with the MITs and Harvards and the Ivy Leagues. I think they're always in the top 10 there together on the university world tables.
But if you, this is certainly true in 2010, if you were coming, say you had a PhD in physics out of Cambridge and you didn't want to work in finance at a hedge fund in the city, but you wanted to stay in the UK and be intellectually challenged, there were not that many options for you, right? There were not that many deep tech startups. So we were the first, really, to prove that could be done.