Marcus Hutter

Let me pick the embodiment maybe.

So...

Embodiment is important, yes and no.

I don't believe that we need a physical robot walking or rolling around, interacting with the real world in order to achieve AGI.

And I think it's more of a distraction probably than helpful.

It's sort of confusing the body with the mind.

For industrial applications or near-term applications, of course, we need robots for all kinds of things.

But for solving the big problem, at least at this stage, I think it's not necessary.

But the answer is also yes, that I think the most promising approach is that you have an agent.

And, you know, that can be a virtual agent, you know, in a computer interacting with an environment, possibly, you know, a 3D simulated environment like in many computer games.

And you train and learn the agent, even if you don't intend to later put it sort of, you know, this algorithm in a robot brain and leave it forever in the virtual reality, getting experience in a

although it's just simulated 3D world, is possibly, and I say possibly, important to understand things on a similar level as humans do, especially if the agent or primarily if the agent needs to interact with the humans, right?

If you talk about objects on top of each other in space and flying and cars and so on, and the agent has no experience with even virtual 3D worlds, it's probably hard to grasp.

But if you develop an abstract agent, say we take the mathematical path and we just want to build an agent which can prove theorems and becomes a better and better mathematician, then this agent needs to be able to reason in very abstract spaces.

And then maybe sort of putting it into a 3D environment, simulated or not, is even harmful.

It should sort of, you put it in, I don't know, an environment which it creates itself or so.

Yeah, luckily I asked books and not singular book.

It's very hard and I tried to pin down one book.

And I can't do that at the end.

So the most, the books which were most transformative for me or which I can most