Demis Hassabis

But I think there is a place also for specialized robotic forms.

Yeah, I do.

And I spend quite a lot of time on this.

And I think we're still, I feel we're still a little bit early on robotics.

I think in the next couple of years, there'll be a sort of real wow moment with robotics.

But I think the

algorithms need a bit more development.

The general purpose models that these robotics models are built on still need to be better and more reliable and better understanding the world around it.

I think that will come in the next couple of years.

And then also on the hardware side, the key is I think eventually we will have millions of robots helping society

and increasing productivity.

But the key there is when you talk to hardware experts is at what point do you have the right level of hardware to go for the scaling option?

Because effectively, when you start building factories around trying to make tens of thousands, hundreds of thousands of particular robot type,

it's harder for you to update, quickly iterate the robot design.

So it's one of those kind of questions where if you call it too early, then the next generation of robot might be invented in six months time that's just more reliable and better and more dexterous.

But of course, I think maybe that's where we are, but I think except that 10 years happens in one year, probably.

1984 might be one of those years.

Yeah, I mean, AI to accelerate scientific discovery and help with things like human health is the reason I spent my whole career on AI.

And I think it's the most important thing we can do with AI.

And I feel like if we build AGI in the right way, it will be the ultimate tool for science.