The Plausibility Trap: How AI Learned to Sound Right

Modern AI systems are optimized to sound authoritative rather than truthful, creating what researchers call the 'plausibility complex.' After testing Claude, ChatGPT, and Gemini on production tasks, the authors discovered these models achieve high logical consistency while sacrificing source attribution—reasoning that persuades without grounding in evidence. The solution isn't better training but epistemic accountability: making AI explicitly distinguish between facts, inferences, and extrapolations so humans can verify rather than blindly trust.