<rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hacker News: TJM2084</title><link>https://news.ycombinator.com/user?id=TJM2084</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Fri, 04 Sep 2026 11:26:15 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=TJM2084" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by TJM2084 in "AI models collapse when trained on recursively generated data"]]></title><description><![CDATA[
<p>Here's Gretel's response to the Nature paper on model collapse. Covers the methodology, and how it's flawed, in detail and highlights a lot of other great synthetic data research.<p><a href="https://towardsdatascience.com/addressing-concerns-of-model-collapse-from-synthetic-data-in-ai-7cd380208d14" rel="nofollow">https://towardsdatascience.com/addressing-concerns-of-model-...</a></p>
]]></description><pubDate>Tue, 06 Aug 2024 01:00:55 +0000</pubDate><link>https://news.ycombinator.com/item?id=41166957</link><dc:creator>TJM2084</dc:creator><comments>https://news.ycombinator.com/item?id=41166957</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41166957</guid></item></channel></rss>