Learning ML, there was a high emphasis on the error part of things as most of the course was on minimizing errors. After ChatGPT, there is a weird anthropomorphization going on, where it's all about hallucinations, alignment and what not.

We have something that is statistical in nature so there should never been any expectation of error-free results/actions. The value has always been about discerning trends or the cost of errors being way lower than any good result.