Demis Hassabis

What is that?

Yeah.

Well, I think it's this sort of intuitive leaps that we often celebrate with the best scientists in history and artists, of course.

And maybe it's done through analogy or analogical reasoning.

There are many theories in psychology and neuroscience as to how we as human scientists do it.

But a good test for it would be something like give one of these modern AI systems a knowledge cutoff of 1901 and see if it can come up with special relativity like Einstein did in 1905.

If it's able to do that, then I think we're on to something really, really important where perhaps we're nearing an AGI.

Another example would be with our AlphaGo program that beat the world champion at Go.

Not only did it win back 10 years ago, it invented new strategies that had never been seen before for the game of Go, this famously Move 37 in game two that is now studied.

Can an AI system come up with a game as elegant, as satisfying, as aesthetically beautiful as Go, not just a new strategy?

And the answer to those things at the moment is no.

So that's one of the things I think that's missing from a true general system, an AGI system, is it should be able to do those kinds of things as well.

Well, so I think the fundamental aspect of this is, can we mimic these intuitive leaps rather than incremental advances that the best human scientists seem to be able to do?

I always say what separates a great scientist from a good scientist is they're both technically very capable, of course, but the great scientist is more creative.

And so maybe they'll spot some pattern from another subject area that can be

can sort of have an analogy or some sort of pattern matching to the area they're trying to solve.

And I think one day AI will be able to do this, but it doesn't have the reasoning capabilities and some of the thinking capabilities that are going to be needed to make that kind of breakthrough.

I also think that we're lacking consistency.

So you often hear some of our competitors talk about

these modern systems that we have today are PhD intelligences.