Demis Hassabis

And then the player is going to look to the right and then look back.

So now this part of the world didn't exist before, so now it exists.

And then they look back and they see the same painting marks they left just earlier.

And again, every pixel you can see is fully generated.

And then you can type things like person in a chicken suit or a jet ski, and it will just, in real time, include them in the scene.

So it's quite mind-blowing, really.

This model is reverse engineering

intuitive physics.

So, you know, it's watched many millions of videos and YouTube videos and other things about the world.

And just from that, it's kind of reversed engineered how a lot of the world works.

It's not perfect yet, but it can generate a consistent minute or two of interaction as you as the user in many, many different worlds.

There are some videos later on where you can control, you know, a dog on a beach or a jellyfish or that's not limited to just human things.

Yeah, it was trained off of video and some synthetic data from game engines.

And it's just reverse engineered it.

And for me, it's very close to my heart, this project, but it's also quite mind-blowing because in the 90s, in my early career, I used to write video games and AI for video games and graphics engines.

And I remember how hard it was to do this by hand, program all the polygons and the physics engines.

And it's amazing to just see this, do it effortlessly.

All of the reflections on the water and the way materials flow.

and objects behave.

And it's just doing that all out of the box.