GPT can write "about" something from a prompt. This is not much different than me interpreting data that I'm analyzing. I'm constantly generating stories and checking them, until one story survives it all. How do I generate stories!? Seriously. I'm sure I have a GPT module in my left frontal cortex. I use it all the time when I think about actions I take, and it's what I try to ignore when I meditate. Its ongoing narrative is what feeds back into how I feel about things, which affects how I interact with things and what things I interact with ... not necessarily as a goal-driven decision process, more as a feedback-driven randomized selection. Isn't this kind of the basis of Cognitive Behavioral Therapy, meditation, etc. See [1,2]. If you stick GPT and sentiment analysis into a room, will they produce a rumination feedback like a depressed person?
Anyway, if you can tell a coherent story to justify a result (once presented with a result), one that is convincing enough for people to believe and internalize the result in their future studies, how is that different from understanding that result and teaching it to others? The act of teaching is itself story generation. Mental models are just story-driven hacks that allow people to generalize results in an insanely complex system.
1. Happiness Hypothesis Jonathan Haidt 2. Buddhism and modern psychology, coursera
