Demis Hassabis

I mean, depending on what the problem is, I think there could be a number of mitigations.

And so the first part is making sure you detect it ahead of time.

So that's about the right evaluations and right benchmarking and right testing.

And then the question is how one would fix that before

you deployed it.

But I think it would need to be fixed before it was deployed generally, for sure, if that was an exposure surface.

Yeah, well, for me, yes, it's already priced into my world model of how things were going to go, at least from the technology side.

But obviously, we didn't necessarily anticipate the general public would be that interested this early in the sequence of things.

Maybe one could think of...

If we were to produce more, if say like a chat GPT and chat bots hadn't got the kind of got the interest they'd ended up getting, which I think was quite surprising to everyone that people were ready to use these things, even though they were lacking in certain directions, right?

Impressive though they are.

Then we would have produced more specialized systems, I think, built off of the main track, like alpha folds and alpha goes and so on in our scientific work.

And then...

I think the general public maybe would have only paid attention later down the road where in a few years' time where we have more generally useful assistant-type systems.

So that's been interesting.

So that's created a different type of environment that we're now all operating in as a field.

And it's a little bit more chaotic because there's so many more things going on and there's so much VC money going into it and everyone's sort of almost losing their minds over it, I think.

And the thing I worry about is I want to make sure that as a field, we act responsibly and thoughtfully and scientifically about this and use the scientific method to approach this in, as I said, an optimistic but careful way.

And I've always believed that's the right approach for something like AI.

And I just hope that doesn't get lost in this huge rush.