Konstantin Kisin

I would not be surprised if the other models, if you ask the question, and I want somebody who I've not interviewed before, that they would immediately catch that.

And by this point, the models are good enough to be actually giving you novel names.

I don't think they'll give you names which you're like, wow, that's an amazing find.

I can't believe I didn't think of it.

Or I would never have thought of it otherwise.

Because they're not amazing and discovering and this...

I think humans are great at this idiosyncratic thing of, like, there's this, like, weird angle that I'm, like, really obsessed with that other people aren't thinking about.

Where the models are not going to do that.

They're sort of an average.

But when you are preparing to interview the person, I also think they're not amazing at coming up with questions.

This is a thing I have to do that you have to do.

They're great at just, like, I would have to hire, you know, the ancient Greeks would hire one-on-one tutors for...

for their pupils, and this is how you got Alexander being tutored by Aristotle.

And there's something powerful about this way of learning, one-on-one, where you can just directly ask questions and learn.

And so they're amazing at just teaching you stuff, because you get this one-on-one tutor that notices your confusion as soon as you have it.

You can really probe at your understanding in different ways.

But I take your point that some of the models are not there yet on a lot of these kinds of biases that they have.

Yeah.

Maybe one way to approach this question is to think about

At a very basic level, a system that is an AGI should be able to do anything that a human does.