AI Definitions: Knowledge Collapse

Knowledge Collapse – A gradual narrowing of accessible information, along with a declining awareness of alternative or obscure viewpoints. With each training cycle, new AI models increasingly rely on previously produced AI-generated content, reinforcing prevailing narratives and further marginalizing less prominent perspectives. The resulting feedback loop creates a cycle where dominant ideas are continuously amplified while less widely-held (and new) views are minimized. Underrepresented knowledge becomes less visible – not because it lacks merit, but because it is less frequently retrieved and less often cited. (also see “Synthetic Data”)

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