“We solved the million-dollar math problem. There's a trillion-dollar engineering problem, which is like, how do you predict these things in a fast, efficient way and do this inverse design? That's a much harder problem.”

I'll say, like, day-to-day engineering fluids and applied math kind of analysis of fluids is almost completely unchanged. Fluids are just as hard to simulate and predict today as they were a month ago or two months ago. And so when I'm trying to actually solve an engineering problem with a fluid, I want to design an airplane wing or an artificial heart or whatever it is. I'm still having to simulate and predict and manipulate this flow in a very practical way that's expensive in terms of supercomputer time and wind tunnel resources. And this mathematical theorem and proof are very interesting, but it operates at a regime that's so non-physical that it doesn't really affect my day-to-day engineering. There's still, I don't know, this is very pithy, but I like to say, you know, we solved the million-dollar math problem. There's a trillion-dollar engineering problem, which is like, how do you predict these things in a fast, efficient way and do this inverse design? That's a much harder problem. And you