1. It didn't insist anything. It got the semi-correct answer when I tried [1]; note it's a preview model, and it's not a perfect product.
(a) Sometimes things are useful even when imperfect e.g. search engines.
(b) People make reasoning mistakes too, and I make dumb ones of the sort presented all the time despite being fluent in English; we deal with it!
I'm not sure why there's an expectation that the model is perfect when the source data - human output - is not perfect. In my day-to-day work and non-work conversations it's a dialogue - a back and forth until we figure things out. I've never known anybody to get everything perfectly correct the first time, it's so puzzling when I read people complaining that LLMs should somehow be different.
2. There is a recent trend where sex/gender/pronouns are not aligned and the output correctly identifies this particular gotcha.
(a) Sometimes things are useful even when imperfect e.g. search engines.
(b) People make reasoning mistakes too, and I make dumb ones of the sort presented all the time despite being fluent in English; we deal with it!
I'm not sure why there's an expectation that the model is perfect when the source data - human output - is not perfect. In my day-to-day work and non-work conversations it's a dialogue - a back and forth until we figure things out. I've never known anybody to get everything perfectly correct the first time, it's so puzzling when I read people complaining that LLMs should somehow be different.
2. There is a recent trend where sex/gender/pronouns are not aligned and the output correctly identifies this particular gotcha.
[1] I say semi-correct because it states the doctor is the "biological" father, which is an uncorroborated statement. https://chatgpt.com/share/66e3f04e-cd98-8008-aaf9-9ca933892f...