The AI researcher Andrew Peterson describes this phenomenon as "knowledge collapse": a gradual narrowing of the information humans can access, along with a declining awareness of alternative or obscure viewpoints. As LLMs are trained on data shaped by previous AI outputs, underrepresented knowledge can become less visible – not because it lacks merit, but because it is less frequently retrieved or cited. Peterson also warns of the "streetlight effect", named after the joke where a person searches for lost keys under a streetlight at night because that's where the light is brightest. In the context of AI, this would be people searching where it's easiest rather than where it's most meaningful. Over time, this would result in a degenerative narrowing of the public knowledge base...
https://www.theguardian.com/news/2025/nov/18/what-ai-doesnt-know-global-knowledge-collapse
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