[wwweston]

Hank is 31 years old, single, outspoken, and very bright. Hank got a technical degree, and as a student was deeply interested in machine learning and the ethics & philosophy of potential artificial intelligence. He posts a problem on HN where he describes the personality, capabilities, interests, and background of a woman named Linda has and then asks people to reflect on her occupation, politics, and an intersection between the two. Which is more likely?

a) Hank has written us a human interest problem b) Hank has written us a human interest and a probability problem.

I don't think people are simply wrong about the Linda problem, I think they're imprecise about which question they're answering, and more or less think they're answering a question about what chances that Linda is a feminist vs what are the chances she's a bank teller not only using the givens+relevant priors about people but also their priors about what kind of question they're answering. It isn't "no real reasoning", it's just not high resolution enough to be technically correct by the standards of a constructed probability problem.

You can argue LLMs are also not quite high resolution enough and I'd accept that. In my mind the question is what it would take to get some kind of ML software to a place where if you trained it on enough probability problems it would be able to evaluate the Hank problem above, including the issue of whether (a) and (b) are actually independent. ;)