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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Curated Synthetic Data Doesn't Have to Collapse: A Theoretical Study of Generative Retraining with Pluralistic Preferences · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2605.07724/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2605.07724/feed.xml" rel="self" type="application/rss+xml" /><item><title>Curated Synthetic Data Doesn't Have to Collapse: A Theoretical Study of Generative Retraining with Pluralistic Preferences — mentioned by nsagent</title><link>https://news.ycombinator.com/item?id=48871418</link><guid isPermaLink="false">urn:hackerpapers:mention:2605.07724:48871418</guid><pubDate>Sat, 11 Jul 2026 12:22:30 GMT</pubDate><description>&lt;p&gt;I&amp;#x27;m unwilling to speculate whether or not OpenAI is breaking their agreements (I honestly have no clue), but as an NLP researcher I&amp;#x27;m certain they could launder data by having an LLM rewrite it and subsequently train on the rewritten data. Papers like &amp;quot;Curated Synthetic Data Doesn&amp;#x27;t Have to Collapse&amp;quot; [1] and &amp;quot;How to Synthesize Text Data without Model Collapse?&amp;quot; [2] demonstrate it&amp;#x27;s possible to do this. Since OpenAI&amp;#x27;s Privacy Policy [3] explicitly allows for the use of deidentified data, it&amp;#x27;s possible they consider rewrites (maybe paired with a model used to identify explicit PII) to be…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2605.07724/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
