Marcus Hutter

why that's the yeah but you're young right yes it's good thing yeah thank you thank you very much but i was also in the soviet union we didn't have uh wouldn't have any of those fun things but you have heard about this tamagotchi which was you know really really primitive actually for the time it was and you know you could raise you know this and and and and kids got so attached to it and you know didn't want to let it die and

If we would have asked the children, do you think this Tamagotchi is conscious?

Okay, from a formal perspective, that's sort of, you know, an extra point.

So I think there are a couple of reasons.

I mean, AI came in waves, right?

You know, AI winters and AI summers, and then there were big promises which were not fulfilled.

And people got disappointed.

But narrow AI, solving particular problems which seem to require intelligence, was...

always to some extent successful and there were improvements, small steps.

And if you build something which is, you know, useful for society or industrial useful, then there's a lot of funding.

So I guess it was in parts the money which drives people to develop specific systems, solving specific tasks.

But you would think that at least in university, you should be able to do ivory tower research.

And that was probably better a long time ago.

But even nowadays, there's quite some pressure of doing applied research or translational research.

And it's harder to get grants as a theorist.

So that also drives people away.

It's maybe also harder.

attacking the general intelligence problem.

So I think enough people, I mean, maybe a small number were still interested in formalizing intelligence and thinking of general intelligence, but not much came up, right?

Or not much great stuff came up.