So to throw my totally-amateur two cents in, it seems like it's definitely part of the discussion in actual AI circles based on the for-public-consumption reading and viewing I've done over the years, though I've never heard it mentioned by name. I think a bigger part of the explanation has less to do with human cognition (it's probably fallacious to assume that AI of any method effectively reproduces those processes) and more to do with the more abstract cognitive tests and games being much more formally defined. Our perception and model of a game of Chess or Go may not be complete enough to solve the game, but it is bounded by the explicitly-defined rules of the game. If your opponent tries to work outside of those bounds by, say, flipping the board over and storming off, the game itself can treat that as a simple forfeit-by-cheating. But our understanding of the real world is not similarly bounded. Things that were thought to be impossible happen with impressive frequency, and our brain is clearly able to handle this somehow. That lack of boundedness requires different capabilities than just being able to operate within expected parameters like existing English GenAI or image generators, I suspect relating to handling uncertainty or lacking information. The assumption that what AI is doing is a mirror to the living mind is wholly unproven.