EXACTLY. There's an assumption that there's a system that by default produces correct representations, but has malfunctioned and produced a representation of a

EXACTLY. There's an assumption that there's a system that by default produces correct representations, but has malfunctioned and produced a representation of an absent object. But isn't the whole process of ML making what would be a malfunction into a procedure? Generating humongous numbers of completely faulty representations until some emerge that look like they're mirroring reality? Is hallucination in ML not the default state? Its correctness being a judgment of an observing subject, and in all cases, a happy accident that has struck the observer as being real by only looking real. Aren't language models just playing on how impressionable we are? How easily we're tricked into believing that something is a real thing based only on superficial attributes?