Demis Hassabis

And the kinds of arguments go is like, how can you really understand the concept of the weight of something, for example, unless you can pick things up?

And the kinds of arguments go is like, how can you really understand the concept of the weight of something, for example, unless you can pick things up?

and and and sort of compare them with each other and then you get this sort of idea of weight like can you actually you know can you really get that notion just by looking at things it seems seems hard right certainly for for humans like i think you need to act in the world so this is idea that acting in the world is part of your learning you're kind of like an active learner and in fact reinforcement learning is like that because the decisions you make

and and and sort of compare them with each other and then you get this sort of idea of weight like can you actually you know can you really get that notion just by looking at things it seems seems hard right certainly for for humans like i think you need to act in the world so this is idea that acting in the world is part of your learning you're kind of like an active learner and in fact reinforcement learning is like that because the decisions you make

and and and sort of compare them with each other and then you get this sort of idea of weight like can you actually you know can you really get that notion just by looking at things it seems seems hard right certainly for for humans like i think you need to act in the world so this is idea that acting in the world is part of your learning you're kind of like an active learner and in fact reinforcement learning is like that because the decisions you make

give you new experiences, but those experiences depend on the actions you took, but also those are the experiences that you'll then subsequently learn from. So in a sense, reinforcement learning systems are involved in their own learning process, right? Because they're active learners. And I think you can make a good argument that that's also required in the physical world.

give you new experiences, but those experiences depend on the actions you took, but also those are the experiences that you'll then subsequently learn from. So in a sense, reinforcement learning systems are involved in their own learning process, right? Because they're active learners. And I think you can make a good argument that that's also required in the physical world.

give you new experiences, but those experiences depend on the actions you took, but also those are the experiences that you'll then subsequently learn from. So in a sense, reinforcement learning systems are involved in their own learning process, right? Because they're active learners. And I think you can make a good argument that that's also required in the physical world.

Now, if it turns out, I'm not sure I believe that anymore because now with our systems, especially our video models, if you've seen VO2, our latest video models, completely state of the art, which we released late last year. And it...

Now, if it turns out, I'm not sure I believe that anymore because now with our systems, especially our video models, if you've seen VO2, our latest video models, completely state of the art, which we released late last year. And it...

Now, if it turns out, I'm not sure I believe that anymore because now with our systems, especially our video models, if you've seen VO2, our latest video models, completely state of the art, which we released late last year. And it...

It kind of shocked even me that even though we're building this thing, that it can sort of basically by watching a lot of YouTube videos, it can figure out the physics of the world. There's a sort of funny Turing test of, in some sense, Turing test in verb commas of video models, which is, can you chop a tomato?

It kind of shocked even me that even though we're building this thing, that it can sort of basically by watching a lot of YouTube videos, it can figure out the physics of the world. There's a sort of funny Turing test of, in some sense, Turing test in verb commas of video models, which is, can you chop a tomato?

It kind of shocked even me that even though we're building this thing, that it can sort of basically by watching a lot of YouTube videos, it can figure out the physics of the world. There's a sort of funny Turing test of, in some sense, Turing test in verb commas of video models, which is, can you chop a tomato?

Can you show a video of, you know, a knife chopping a tomato with the fingers and everything in the right place? And the tomato doesn't, you know, magically spring back together or the knife goes through the tomato without cutting it, et cetera. And VO can do it.

Can you show a video of, you know, a knife chopping a tomato with the fingers and everything in the right place? And the tomato doesn't, you know, magically spring back together or the knife goes through the tomato without cutting it, et cetera. And VO can do it.

Can you show a video of, you know, a knife chopping a tomato with the fingers and everything in the right place? And the tomato doesn't, you know, magically spring back together or the knife goes through the tomato without cutting it, et cetera. And VO can do it.

And if you think through the complexity of the physics, you know, to understand this, you know, you've got to what you've got to keep consistent and so on. It's pretty amazing. It's hard to argue that it doesn't understand something about physics and the physics of the world. And it's done it without acting in the world and certainly not acting as a robot in the world.

And if you think through the complexity of the physics, you know, to understand this, you know, you've got to what you've got to keep consistent and so on. It's pretty amazing. It's hard to argue that it doesn't understand something about physics and the physics of the world. And it's done it without acting in the world and certainly not acting as a robot in the world.

And if you think through the complexity of the physics, you know, to understand this, you know, you've got to what you've got to keep consistent and so on. It's pretty amazing. It's hard to argue that it doesn't understand something about physics and the physics of the world. And it's done it without acting in the world and certainly not acting as a robot in the world.