Researcher questions recursive self-improvement framework's treatment of data risks
2 Sep 16 6:37 AM · 11d ago · 2 posts · 2 sources · development 2 of 2
A researcher on Mastodon praises Metz's reporting for cutting to the core of AI news but flags a gap: the piece does not address how recursive self-improvement deals with "recursive pollution"—the risk of systems degrading on polluted data as they self-improve.
“Excellent piece but with no eye on recursive risk. How does recursive self-improvement deal with recursive pollution?”
cigitalgem@sigmoid.socialCade Metz New York Times science reporter
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“.. techno-philosophers have hypothesized that a self-improving system could not only break free from human control but also exceed the power of any other machine — permanently.” @nytimes.com #RSI
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Recursive self Improvement @ cademetz cuts right through the # AI news again, straight to the core. Excellent piece but with no eye on recursive risk. # MLsec How does recursive self-improvement deal with recursive pollution? https://www. nytimes.com/2026/09/16/science /ai-recursive-self-improvement.html?smid=nytcore-android-share
All 2 developments of NYT examines recursive self-improvement as central AI risk… →
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