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<rss version="2.0"><channel><title>OpenAI posts 700 maths preprints online: mathematicians are up in arms — Live Feed</title><link>https://www.live-feeds.com/feed/openai-posts-700-maths-preprints-online-mathematicians-are-up-in-arms</link><atom:link xmlns:atom="http://www.w3.org/2005/Atom" href="https://www.live-feeds.com/feed/openai-posts-700-maths-preprints-online-mathematicians-are-up-in-arms/rss.xml" rel="self" type="application/rss+xml"/><description>Continuously updated, source-cited coverage.</description>
<item><title>OpenAI Drops Hundreds of AI Math Preprints, Stunned Researchers React</title><link>https://www.live-feeds.com/feed/openai-posts-700-maths-preprints-online-mathematicians-are-up-in-arms</link><guid isPermaLink="false">https://www.live-feeds.com/feed/openai-posts-700-maths-preprints-online-mathematicians-are-up-in-arms#u114014</guid><pubDate>Sat, 10 Oct 2026 12:25:27 +0000</pubDate><description>OpenAI has published hundreds of mathematical preprints produced by unreleased internal AI models, causing widespread shock and anger across the global academic community. The massive data dump covers solutions to long-standing problems across geometry, computer science, and algebra. While some academics have welcomed the reported progress, many experts warn that the sudden influx of proofs deviates from established research standards and threatens to overwhelm peer review. Academics also raise concerns that the mass release could undermine training data norms and disrupt the careers of early-</description></item>
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