I would consider a Markov chain to have "the sort of thing that understanding is a more complex version of" of the input data. Markov chains compress inputs. Un

I would consider a Markov chain to have "the sort of thing that understanding is a more complex version of" of the input data. Markov chains compress inputs. Understanding is compression. So I'm willing to bite that bullet. I submit that GPT is much closer to the latter than the former, and may even overtake it in its domain. It lacks hardware that the human brain uses to reflect on its knowledge and understand what it is thinking - but just as an "overtuned intuition", just like how AlphaZero's network forms a quite capable chess AI without even using tree search, just by "taking the move that feels right to it", I think it's on par with human intuition, or even stronger, because it cannot rely on reflection like humans can. (In other words, I think there isn't a spectrum of Markov chains to human comprehension. Human comprehension is a different kind of system. However, there is a spectrum of Markov chains to human intuition.)