Amen Ra Mashariki

but it was the move that ultimately won the game.

And so where AI is, is these two places.

Right now, it's at a place where it answers questions based on what it knows, right?

It takes an average of reality and then gives you answers.

Move 37 was this view into how AI can be creative and actually come up with a move that no one has ever thought of and was counterintuitive to use.

And so we really want to get to a place where, in climate and nature, AI is actually offering solutions, creative solutions, that even the world's greatest experts find counterintuitive but are actually really powerful.

Well, one of the projects that really goes across this mental model that I talked about is Meta really came up with this AI innovation invention called Dyno V3, which is a computer vision model, a very powerful computer vision model.

And then they matched it with satellite data.

And it's really powerful brand innovation.

But what they did was partner with WRI in its restoration efforts, such that you could actually track the growth of trees to an 80 percent accuracy of field surveys at three percent of the cost.

And so now you can actually unlock performance-based financing with this technology.

So it followed that mental model of grand innovation and invention and ultimately a discovery that leads to an impact.

The Move 37

The whole thing about that is we haven't gotten there yet.

And that's where we should be going, which is there are restoration solutions that people are using.

And if you ask AI, tell me some of the best ways to do restoration in this particular area, what it's going to do is identify an average or interpolation of the existing good solutions.

What we want is AI to come up with something that no one in the room can come up with when it comes to restoration.

And that's the trajectory.

One, there has to be trust by the experts, and the experts are using it.

But then also, there has to be a mechanism by which