George Church

And we have very little experience with extra ones.

But

But I think there's a revolution going on in generating non-standard amino acids where the amino acids can either have as covalent part of them or as easily liganded all the entire periodic table, stable elements.

And that will, you know, each of those will have to blend in and train our models on.

But as soon as that comes in, then we're going to have a whole series of new materials very quickly.

And ultimately, you can think of the...

the determination of the functionality of your library is a kind of computer, right?

So you use AI to make, to design the library optimally.

So you avoid things that are really neutral and really seriously damaged.

But then the stuff in the middle, you actually play it out, not in a simulation, but in real life.

But it's so inexpensive, and it's so fast, and it's so exact.

I mean, it's 100% precision because you're not simulating, right?

You're not making assumptions.

You're not going from quantum electrodynamics, which is an assumption,

quantum mechanics, which is an assumption, to molecular mechanics, which are full of assumptions.

You're really doing the real thing.

And so you're doing a kind of natural computing, and then you can take that data and harvest it in various ways very efficiently, pump it back into the more conventional AI, and do another round of it.

Well, I didn't mean to stop there.

I mean, I knew the conversation would continue.

I'm not pinning down a particular year either, but I think this is poised to go pretty quickly.