Jason Calacanis

What's interesting about Andres, he's been at the wave upon wave of AI.

He was probably the first person that really commercialized the Richard Sutton bitter lesson essay.

when he was leading FSD at Tesla, which was really about the brute force computation.

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.