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Comment on Has the hallucination problem in AI been solved?

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The problem hasn't been solved, and, by the very nature of what LLMs are, can't be. However, it has gotten a lot better, as models have got much larger and pretraining more sophisticated.

Part of the difficulty--not in solving, but in discussing--is in defining what a hallucination is. On the face of it, it seems straightforward: an obviously counterfactual claim or manifest error of reasoning. However, it's not always that simple. A lot of what people consider to be hallucinations are misattributions, specious diagnoses, strangely lopsided preoccupations, eccentric design choices, needlessly verbose or circuitous output or explanations, a kind of metaphysical conflation of the trivial with the significant, etc.

I prefer to say that it's all hallucinations so the time... we just happen to like some portion of them.

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In fact [The Bursar] was incurably insane and hallucinated more or less continuously, but by a remarkable stroke of lateral thinking his fellow wizards had reasoned that, in that case, the whole business could be sorted out if only they could find a formula that caused him to hallucinate that he was completely sane.
This had worked well. There had been a few false starts. For several hours, at one point, he had hallucinated that he was a bookcase. But now he was permanently hallucinating that he was a bursar, and that almost made up for the small side-effect that also led him to hallucinate that he could fly.

The Truth (2000) by Terry Pratchett

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