Michael Levin

That's part of the autopoiesis.

But we can go a step further.

And some people are doing this.

And then we're sort of working on some of this, too, is this idea that let's even go back further.

You don't even know what sensors you have.

You don't know where you end in the outside world begins.

All you have is is certain things like active inference, meaning you're trying to minimize surprise.

Right.

You have some metabolic constraints.

You don't have all the energy you need.

You don't have all the time in the world to think about everything you want to think about.

So that means that you can't afford to be a micro reductionist.

You know, all this data coming in, you have to coarse grain it and say, I'm going to take all this stuff.

I'm going to call that a cat.

I'm going to take all this.

I'm going to call that the edge of the table.

I don't want to fall off of.

And I don't want to know anything about the micro states.

What I want to know is what is the optimal way to cut up my world.

And by the way, this thing over here, that's me.