It would be interesting (if unlikely) that we found our reality worked that was as well. Mostly just super granular gravity nodes made up purely of clumpy probability distributions.

Also I describe this more simply to others as a tree walk where the manifold is mapped along a walk through it (even if it’s not linear one) where you choose the next jump based on the most likely future mode relative to the nodes already created and the ones from the prompt.

This helps some understand attention layers rudimentary. Even tho it leaves out that multiple layers sort of prune the overall manifold in successive passes.