In a landmark study, OpenAI researchers reveal that large language models will always produce plausible but false outputs, even with perfect data, due to fundamental statistical and computational limits.
A hallucination is something that disagrees with your active inputs (ears, eyes, etc). AIs don’t have these active inputs, all they have is the human equivalent of memories. Everything they draw up is a hallucination, literally all of it. It’s simply coincidence when a hallucination matches reality.
Is it really surprising that the thing that can only create hallucinations is often wrong? That the thing that can only create hallucinations will continue to be wrong on a regular basis in the future as well?
A hallucination is something that disagrees with your active inputs (ears, eyes, etc). AIs don’t have these active inputs, all they have is the human equivalent of memories. Everything they draw up is a hallucination, literally all of it. It’s simply coincidence when a hallucination matches reality.
Is it really surprising that the thing that can only create hallucinations is often wrong? That the thing that can only create hallucinations will continue to be wrong on a regular basis in the future as well?
My guy, Microsoft Encarta 97 doesn’t have senses either, and its recollection of the capital of Austria is neither coincidence nor hallucination.