Eh, there's good and bad. The model mostly sticks to prevailing narratives in the training corpus. So if there is something that the prevailing narrative is really wrong about, it's gonna be just as pig-headed about it as a typical internet forum rando.
Not entirely correct. This kind of fine-grained model behaviour is built in post training stages, RL, RLHF etc, where model receives rewards or penalties for talking (or not talking) a certain way