

@YourMomsTrashman A purpose-designed system might have the same underlying POTENTIAL for garbage output, IF you train it inappropriately. But it would be trained on a discretely selected range of content both relevant to its purpose, and carefully vetted to ensure it’s accurate (or at least believed to be).
A cancer-recognizing system, for example, would be trained on known examples of cancer, and ONLY that.
@YourMomsTrashman I’d call that a predictable result, heh. And some of that input has got to be garbage.