The Missing Knowledge Layer in AI: A Framework for Stable Human-AI Reasoning

ArXi:2604.14881v1 Announce Type: new Large language models are increasingly integrated into decision-making in areas such as healthcare, law, finance, engineering, and government. Yet they share a critical limitation: they produce fluent outputs even when their internal reasoning has drifted. A confident answer can conceal uncertainty, speculation, or inconsistency, and small changes in phrasing can lead to different Humans exhibit a similar weakness, often mistaking fluency for reliability.