Demis Hassabis

And I think the early criticisms of these early systems were that they were just regurgitating and memorizing.

But I think clearly the new era, the Gemini GPT-4 type era, they are definitely generalizing to new constructs.

But actually in my thesis and that paper particularly that started that area of imagination in neuroscience was showing that, first of all memory, certainly at least human memory is a reconstructive process.

It's not a videotape, right?

We sort of put it together back from components that seems familiar to us, the ensemble.

And that's what made me think that imagination might be the same thing, except in this case, you're using the same semantic components, but now you're putting it together into a way that your brain thinks is novel, right?

For a particular purpose like planning.

And so I do think that that kind of idea is still probably missing from our current systems, this sort of pulling together different parts of your world model to simulate something new that then helps with your planning, which is what I would call imagination.

Yes, we have actually, I mean, we have already lots of internal checks and balances, but we're going to start publishing.

Actually, you know, sort of watch this space is we're working on a whole bunch of blog posts and technical papers that we'll be putting out in the next few months that, you know, along the similar lines of things like responsible scaling laws and so on.

We have those implicitly internally and various safety councils and so on, people like Shane Chair and so on.

But it's time for us to talk about that more publicly, I think.

So we'll be doing that throughout the course of the year.

Yeah, it's interesting.

So first of all, there's sort of two parts to this.

One is security, one is open source, maybe we can discuss.

But the security, I think, is super key, just as sort of normal cybersecurity type things.

And I think we're lucky at Google DeepMind, we're kind of behind Google's firewall and cloud protection, which is, I think, best in class in the world corporately.

So we already have that protection.

And then behind that, we have specific DeepMind