Demis Hassabis

And again, it's interesting that those kinds of dynamics can be modeled, even though they're very complicated, almost bordering on chaotic systems in some cases.

A lot of the interesting aspects of that can be modeled by these neural network systems, including very recently we had, you know, cyclone prediction of where, you know, paths of hurricanes might go, of course, super useful, super important for the world.

And it's super important to do that very timely and very quickly and as well as accurately.

And I think it's a very promising direction, again, of, you know, simulating and so that you can run forward predictions and simulations of very complicated real world systems.

Yeah, hopefully they are.

And I'd love to join them in one of those checks.

They look amazing, right?

To actually experience it one time.

um so there's interesting questions around that how will we actually know that we got there uh and uh what may be the move quote move 37 of agi my estimate is sort of 50 chance by in the next five years so you know by 2030 let's say and uh so i think there's a good chance that that could happen part of it is what is your definition of agi of course people arguing about that now and

And mine's quite a high bar and always has been of like, can we match the cognitive functions that the brain has?

Right.

So we know our brains are pretty much general Turing machines, approximate.

And of course, we created incredible modern civilization with our minds.

So that also speaks to how general the brain is.

And for us to know we have a true AGI, we would have to make sure that it has all those capabilities.

It isn't kind of a jagged intelligence where some things it's really good at, like today's systems, but other things it's really flawed at.

And that's what we currently have with today's systems.

They're not consistent.

So you'd want that consistency of intelligence across the board.

And then we have some missing, I think, capabilities, like the true invention capabilities and creativity that we were talking about earlier.