“Look, you're really smart. So you must understand. Being smart has limits. … If that experiment requires breeding mice and mice need a year to grow up and die, that experiment is going to take time. And it might be a great experiment. You might learn a lot and that's great. Still going to take time. And the lab's only so big.”

…server. And so I actually don't know what model I'm using anymore. I used to know this model is better, this one's worse. I no longer know. All of this is being optimized on the back end for me. And all I know is that stuff is getting built and it's not using up my subscriptions. And so we're good.

…what you think about, which is effectively real-world experimentation companies that create a loop that's automatic. There's this happening in robotics. There's this happening in several places in biolabs and automated wet labs, automated testing labs. Any commentary on that kind of company?

It seems like the market has been, especially in private markets and the leading edge of investors thinking about AI, very focused on investing in supply-related stuff. Like how are we going to build and serve all the intelligence versus what I'll call demand-related stuff? Someone watching their…

Super hard. I've joked, I've been willfully ignorant about them and probably I'm sort of worse off for it. But there's this big build out. And then you're trying to forecast inference demand. I can't forecast supply or demand within several orders of magnitude. This idea of how much more inference…

Maybe this is a time to talk about capital cycles or something. It sure does seem like the smartest people in the world and many or most of the best entrepreneurs in the world are heavily personally invested in this supply build out thing. If you watch SpaceX's Investor Day yesterday, this is…