Jason Calacanis

And I remember him telling me this story.

I don't know if he said this publicly or not, but where he spent a portion of his time, I want to say a quarter of his time labeling data.

Could you imagine like 2016, 17, like hand labeling video data from Tesla's.

So he did that.

Then he's co-founder of OpenAI.

He's a star.

And he's an exceptional human being.

And he's super curious.

And

Then what he's done as a kind of a free agent is also quite impressive.

So I think that this is a really important deal.

I think he's one of these really curious people that can be sent off and they'll just go and invent new things.

And I think this idea of recursive self-learning puts these models on a combination of overdrive and autopilot.

And so if you put those two things together, I think that you start to, you could potentially live out this idea that there's an order of magnitude improvement on a yearly basis.

So like this new form of Moore's law.

So then the model quality just goes absolutely parabolically, just like this, straight up.

Throw a bunch of compute at the problem, and these things learn really quick.

I think is the high order bit there.

Gavin, what's your take on Anthropic's recent success and their massive hiring binge?

Across all of the language models.