When identical inputs produce conflicting outputs, the issue is not the data—it is how systems interpret structure “Why does one AI say the city issued a boil water notice while another says it was lifted yesterday?” The question emerges after two systems produce conflicting answers about the same public safety update. One attributes the notice to the county, another to the city. One presents it as active, the other as resolved. Both responses appear confident. Both cite plausible sources. Yet at least one is definitively wrong, and the difference is not trivial—it changes how the public interprets immediate risk. The inconsistency is not random. It reflects how AI systems process information, and why identical inputs do not guarantee identical interpretations. How AI Systems Separate Content from Source AI systems do not consume information as intact records.…