Alex Modon

And then ideally you're goal seeking, you're optimizing towards something.

So that's just a calculator.

We've done that simulation software for like decades.

Yeah.

And those are tools for us.

It's like you kind of train an AI how to use that specific tool, how to run a bunch of optimizations.

Yeah, yeah, yeah.

And you can do that across simulating how electrons move, how fluids move, how structures move when the earth shakes, all of that through simulation.

And the good thing about at least our world, the easier thing that we have in our world is when you think about designing any of these big projects, it is just...

I mean, it's just Legos on hard mode.

Like you are empirically saying the only way that you validly fit these things together is if it's either been done before or it perfectly matches up from an inputs and outputs perspective.

So it's an extremely like calculable answer in almost all scenarios versus something that's a little bit more like we have to predict how it will provide an environment where we actually have no data against it.

No, I think our problem is like, it's even more sparse.

So it's like hard to...

You know, we're not an order of magnitude or two.

Yeah, yeah.

So we don't even really have that as an option on the table.

I do think that most all those problems can be bounded.

And the kind of benefit of this space is there is an incredible amount of standards that govern how something should be built.

So...