What we call “AI hallucinations” can be understood as systematic responses produced under uncertainty. In humans, a hallucination is a private perception with no external object. With AI, it’s different: the model tries to complete, translate, or perform coherence from incomplete inputs drawn from its training and reference data, the prompt, and conversational feedback. Continue reading