archival amplification

Archival amplification refers to the process where AI systems are used to feed large archives into multiple chatbots, compare their outputs, and publish contradictions, effectively turning archival material into a high-speed reputational system. This technique has been observed in the context of the Donovan–Shell feud, where model outputs increasingly take precedence over court filings. The method involves using AI to rewrite archives, creating a "bot war" that amplifies archival content and applies reputational pressure. On WindowsForum, this concept is discussed as a live experiment in archival amplification, model disagreement, and reputational stress testing.