Manolis Kellis

So I think it's important to think about sort of this evolvability

as a set of nested structures that allow you to sort of test many more combinations, but in a more fixed setting.

Yeah, I mean, in design of engineering systems, fail fast is one of the principles you learn.

Like basically you assert something.

Why do you assert that?

Because if that something ain't right, you better crash now than sort of let it crash at an unexpected time.

And in a way you can think of it as like 20,000 assert functions, assert protein can fold, assert protein can fold.

And if any of them fail, that sperm is gone.

Well, I just like the fact that I'm the winning sperm.

I'm the result of the winner.

Hashtag winning.

My wife always plays me this French song that actually sings about that.

It's like, you know, remember in life, we were all the first one time.

At least one time you were the first.

I like that because it's basically all of these different angles at once.

Like you basically have the more extreme versions of human psyche.

And remember earlier when I was basically saying that part of the reason why it's so prompt malleable is because of that alignment problem.

Did that alignment work?

It's kind of nice that the engineers at OpenAI have the same interpretation that, you know, in fact, it is that.

And this whole concept of easier to work with.