Michael Levin

That you didn't have to code into the algorithm.

That's very important.

You get more than you start with, than you put in.

You didn't have to do that.

You get these surprising behavioral competencies, not just complexity.

That's the first thing.

The second thing, which is also crazy, but it requires a little bit of explanation, is

The second thing that we said is, OK, what if instead of in the typical sorting algorithm, you have a single controller top down?

I'm sort of godlike looking down at the numbers and I'm swapping them according to the algorithm.

What if and this goes back to actually the title of the paper talks about agential data, self-sorting algorithms.

This is back to like what's who's the pattern and who's the agent, right?

You said, what if we give the numbers a little bit of agency?

Here's what we're going to.

We're not going to have any kind of top down sort.

Every single number knows the algorithm.

and he's just gonna do whatever the algorithm says.

So if I'm a five, I'm just gonna execute the algorithm and the algorithm will try to make sure that to my right is the six and to my left is a four, that's it.

So every digit is, so it's like a distributed, it's like an ant colony.

There is no central planner, everybody just does their own algorithm, okay?

We're just gonna do that.