losing the battle with my own self-control so will briefly comment and say that categorizing certain types of ai as straightforwardly good and other types as "bad evil," even for the sake of summary, doesn't really hold water. just to give two counterexamples to the distinctions drawn above, large language models ("evil") are being used by human rights groups to parse huge datasets about police abuse while analytical ai ("helpful") is also the kind of ai that animates facial recognition software and the increasingly ubiquitous searchable license plate databases that police are using to stalk people. the goodness or badness of a given ai tool has less to do with its type and more to do with things like scale and scope, transparency, ownership, and contextual application.