That's an interesting way of accomplishing it. I would assume enough filtering would accomplish much the same with huge datasets for multi-modal AI, but focusing primarily on improving and even simplify existing scenarios with AI should be largely the goal of smol models and similar schemes to reduce the size and complexity of interactions while preserving precision and value. The focus could and should help in particular scenarios, but I admittedly don't know the particulars well enough, so I'd be largely speculating on what others may or may not be able to accomplish with current limitations.

AI wasn't helped in making hands with a particular number of fingers without a coherent way of achieving that from the start and a bunch of rather unfiltered data. It's getting better in many regards. For example, AI should have a rather good understanding of anatomy, and should probably start with bones of various animals, like anatomy courses for human students. Then, you could tell it the numbers of fingers, or to make a wing of a particular type. I'm sure lots of people have mentioned this before, but it's a good example.