Learned approximations of slow simulators change what science is possible, by turning a six-month screening run into something you do over lunch.

And I think there's a lot of room in a lot of domains for much faster validation models, possibly learned valu validation models that can uh you know get you a a approximation to the true answer much much more rapidly. And that changes how those experimental loops can be thought of and how quickly you can go around those loops.