Earlier quoted context omitted.
Ever since the "stochastic parrots" and "super-autocomplete" criticisms of LLMs, the question is whether hallucinations are solvable in principle at all. And if hallucinations are solvable, it would of such basic and fundamental scientific importance that I think would be another mini-breakthrough in AI.
An interesting perspective on this I’ve heard discussed is whether hallucinations ought to be solved at all, or whether they are core to the way human intelligence works as well, in the sense that that is what is needed to produce narratives. I believe it is Hinton that prefers “confabulation” to “hallucination” because it’s more accurate. The example in the discussion about hallucination/confabulation was that of so…
You can tell a story without making up fiction. Just say you don’t know when you don’t know.
Inaccurate information is worse than no information.