ChatGPT is immune to the socratic method. It's like it has a model of the world that was developed by processing its training data but it is unable to improve its conceptual model over the course of a conversation.
These are not the kinds of logical failures that a human would make. It may be the most naturalistic computing system we've ever seen but when pushed to its limits it does not "think" like a human at all.
I have had the exact opposite experience. I pasted error messages from code it generated, I corrected its Latin grammar, and I pointed out contradictions in its factual statements in a variety of ways. Every time, it responded with a correction and (the same) apology.
This makes me wonder if we got different paths in an AB test.
Of course, I’m sure that once you start plugging engagement metrics into the model and the model itself conducts A/B tests on its output… hoo boy….
I talked to it about the NYC subway. Every time I nudged it with a prompt to fix a factual error or omission, it would revise something I didn't ask for and introduce new errors. It was inconsistent in astounding ways. Ask it what stations the F and A have in common twice and you'll get two wrong answers. Ask it to make a list putting services in categories, it will put the same service into more than one contradictory category. Point this out, it will remake the list and forget to include that service entirely. And that's when it isn't confidently bullshitting about which trains share track and which direction they travel.
Bullshit is worse than a lie. For a lie is the opposite of the truth and thus always uncovered. But bullshit is uncorrelated with the truth, and may thus turn out to be right, and may thus cause you to trust the word of the bullshiter far more than they deserve.