Are you just dumbing down humans to match the model? LeCunn's post is very sparse on detail, but the point is that humans can easily reason about a vast number of things that any form of sequential language model cannot. That alone is evidence that humans are doing something qualitatively different.

It isn't conclusive evidence however, and larger models may produce significantly more human like results. But from what we know about how gpt-3 works, all the evidence is on the side of it not resembling human intelligence.