That's true, I expect more inference time scaling and hybrid inference/training time scaling when there's continual learning rather than scaling model size or pretraining compute.

Simulation scaling will be the most insane though. Simulating "everything" at the quantum level is impossible and the vast majority of new learning won't require anything near that. But answers to the hardest questions will require as close to it as possible so it will be tried. Millions upon millions of times. It's hard to imagine.