I think a particularly useful "feature" of the brain is it can often identify when it doesn't have a fast path (or the fast path is broken) for something and th

I think a particularly useful "feature" of the brain is it can often identify when it doesn't have a fast path (or the fast path is broken) for something and then revert to trying inefficient and generic approaches, even after the optimal learning period has passed. This is a start difference to LLMs where it's either learned or not, "just add noise". Models like o1 take things in a very small step in that kind of direction.