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News/Epistemic diversity across language models mitigates knowledge collapse
arxiv
PublishedJuly 31, 2026 at 4:00 AM
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Epistemic diversity across language models mitigates knowledge collapse

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Publisher summary· verbatim

arXiv:2512.15011v3 Announce Type: replace Abstract: Artificial intelligence (AI) increasingly generates the very content used to train future AI systems. This feedback loop can degrade model quality, reduce informational diversity, and ultimately drive knowledge collapse, i.e. a degradation to a nar

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arxiv
Read original ↗All from arxiv →
Tags
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#diversity#ecosystem#machine-learning#knowledge-collapse

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