Peter H. Diamandis

And then finally a learning loop where did we buy another company before and did it work out or not?

Right.

And how did that work out?

And all wrapped up in this governance thing.

So that's the kind of an example of how you would flow through these.

And at the core is this engine recursive learning.

Another way to think about the organizational singularity is when you can have recursive self-improvement at the workflow level.

Okay.

So if you took say invoice processing and you have right now, all these human checkpoints of yes, did the goods arrive?

Should we, who's the, does the supplier exist in our systems?

Is there a legal contract?

There's a human checking all those things.

Maybe you have an ERP system that's automated one or two of these layers, but now you can have the whole thing done.

And then an agent can say, well, how would I make this better every loop?

How do I make this better at every loop and constantly improves.

Once you get to that level, you can basically set, set back.

And you're off to the races then because everything's just self-improve at that level.

So that's the very heart of the whole thing with this layer.

Now, we also recognize that agents are going to be doing very crazy things.

So how do you navigate that?