The Fluency Trap: Why AI Models Blur Fact and Assumption

LLMs present grounded analysis and pure speculation with identical confidence, making it nearly impossible for users to separate fact from inference. As AI systems increasingly influence critical decisions, this blur between knowledge and assumption poses serious risks. Structured approaches like VDG protocol address this by forcing models to explicitly flag what they don't know, restoring the transparency essential for trustworthy AI.