The upshot of this is that LLMs are quite good at the stuff that he thinks only humans will be able to do. What they aren't so good at (yet) is really rigorous reasoning, exactly the opposite of what 20th century people assumed.
LLM's are just the latest form of "AI" that, for a change, doesn't quite fit Asimov's mold. Perhaps it's because they're being designed to replace humans in creative tasks rather than liberate humans to pursue them.
Somehow I doubt that the reason gen AI is way ahead of laundry-folding robots is because it's some kind of big secret about how to fold a shirt, or there aren't enough examples of shirt folding.
Manipulating a physical object like a shirt (especially a shirt or other piece of cloth, as opposed to a rigid object) is orders of magnitude more complex that completing a text string.
My point is just that the availability of training data is vastly different between these cases. If we want better AI we're probably going to have to generate some huge curated datasets for mundane things that we've never considered worth capturing before.
It's an unfortunate quirk of what we decide to share with each other that has positioned AI to do art and not laundry.