probably correlate information across multiple entities and chameleons for expansion so for all these kind of modeling requires hardware and software advances from auto pilot training we should it's also possible to make or aggressive models more useful by figuring out faster ways to sample with better low-level primitives at the CUDA that will like for instance fast kernels and and better act like for example wave are an N uses all these mechanisms for production components and doesn't need to be distilled into something like a