Marcus Hutter

The name didn't exist then.

It was called general AI or strong AI.

And the physics theory of everything.

So I switched back and forth between computer science and physics quite often.

The theory of everything.

Those are basically the two biggest problems before all of humanity.

You don't...

Yeah, I can explain if you wanted some later time, why I'm interested in these two questions.

Definitely AGI, because once the AGI problem is solved, I can ask the AGI to solve the other problem for me.

Yeah, brilliantly put.

Okay, so as you were saying about it... Okay, so, and the reason why I didn't settle... I mean, this thought about, you know...

once you have solved AGI, it solves all kinds of other, not just the theory of every problem, but all kinds of more useful problems to humanity is very appealing to many people.

And, you know, I had this thought also, but I was quite disappointed with the state of the art of the field of AI.

There was some theory, you know, about logical reasoning, but I was never convinced that this will fly.

And then there was this more heuristic approaches with neural networks, and I didn't like

these heuristics.

So and also I didn't have any good idea myself.

So that's the reason why I toggled back and forth quite some while and even worked four and a half years in a company developing software or something completely unrelated.

But then I had this idea about the ICSI model.

And so what it gives you, it gives you a gold standard.