Demis Hassabis

And then, of course, with the advent of transformers invented by our colleagues at Google, you know, research and brain, that was the then, you know, the type of deep learning that allowed us to ingest masses of amounts of information.

And that, of course, is really turbocharged where we are today.

So I think that's all part of the same lineage.

You know, we couldn't have predicted every twist and turn there.

But I think the general direction we were going in was the right one.

So we had these things called out.

And actually, we had some early attention papers, but they weren't as elegant as Transformers in the end.

Neural Turing machines and things like this.

And then Transformers was the nicer and more general architecture of that.

Yeah, look, I would love, you know, I think that this has to be, this is so consequential, this technology.

I think it's much bigger than any one company or even industry in general.

I think it has to be a big collaboration with many stakeholders from civil society, academia, government.

And the good news is, I think with the popularity of the recent chatbot systems and so on, I think that has woken up.

many of these other parts of society that this is coming and what it will be like to interact with these systems.

And that's great.

So it's opened up lots of doors for very good conversations.

I mean, an example of that was the safety summit in the UK hosted a few months ago, which I thought was a big success to start getting this international dialogue going.

And I think the whole of society needs to be involved in deciding what do we want to deploy these models for?

How do we want to use them?

What do we not want to use them for?