How repeated interpretation erodes meaning — and why machine-readable records preserve fidelity “Why is AI showing the wrong emergency update for my city?” A resident asks about a current evacuation notice, but the response blends details from an older advisory issued days earlier. The timeline is blurred, the issuing department is unclear, and the recommendation reflects conditions that no longer apply. The answer appears confident, yet it is definitively incorrect, combining fragments that should never have been presented together. How AI Systems Separate Content from Source Artificial intelligence systems do not retrieve information as intact records. They deconstruct it. A page becomes sentences, sentences become tokens, and tokens are recombined based on statistical relevance rather than original structure. In this process, the connection between what was said and who said it begins to loosen. When information is recomposed into an answer, it is no longer anchored to a single authoritative record.…