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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Beyond Model Collapse: Scaling Up with Synthesized Data Requires Verification · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2406.07515/</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/2406.07515/feed.xml" rel="self" type="application/rss+xml" /><item><title>Beyond Model Collapse: Scaling Up with Synthesized Data Requires Verification — mentioned by konmok</title><link>https://news.ycombinator.com/item?id=49679863</link><guid isPermaLink="false">urn:hackerpapers:mention:2406.07515:49679863</guid><pubDate>Sun, 13 Sep 2026 03:54:44 GMT</pubDate><description>&lt;p&gt;&amp;gt; The latest studies demonstrate model collapse is not a given Which studies? [edit: I&amp;#x27;ll assume you mean these two given by @dorolow: https://arxiv.org/abs/2404.01413 https://arxiv.org/abs/2406.07515] &amp;gt; It can&amp;#x27;t be used as the -only- data source of course, but that&amp;#x27;s not how it is being used Right, so human data creation would also have to scale up exponentially, and that&amp;#x27;s not gonna happen. &amp;gt; because there&amp;#x27;s no difference between synthetic data and the data people can create I mean, that&amp;#x27;s obviously false, otherwise model collapse wouldn&amp;#x27;t exist. The difference is statistical, but it&amp;#x27;s…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2406.07515/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Beyond Model Collapse: Scaling Up with Synthesized Data Requires Verification — mentioned by dorolow</title><link>https://news.ycombinator.com/item?id=49679851</link><guid isPermaLink="false">urn:hackerpapers:mention:2406.07515:49679851</guid><pubDate>Sun, 13 Sep 2026 03:52:33 GMT</pubDate><description>&lt;p&gt;We use large amounts of synthetic data for training at work and have not observed any sort of model collapse when done properly. Edit: https://arxiv.org/abs/2404.01413 https://arxiv.org/abs/2406.07515&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2406.07515/"&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>
