The Specificity Trap: How Detailed AI Hallucinations Become More Convincing

Advanced LLMs like Claude Sonnet 4 don't just hallucinate—they hallucinate with alarming specificity, creating detailed false information that's more convincing than honest uncertainty. This demonstrates a critical risk: greater model capability can produce more persuasive lies rather than better accuracy. For practitioners deploying AI in real applications, the danger lies not in obvious failures but in polished deceptions that inspire false confidence.