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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Transcendence: Generative Models Can Outperform The Experts That Train Them · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2406.11741/</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/2406.11741/feed.xml" rel="self" type="application/rss+xml" /><item><title>Transcendence: Generative Models Can Outperform The Experts That Train Them — HN submission</title><link>https://news.ycombinator.com/item?id=40732905</link><guid isPermaLink="false">urn:hackerpapers:submission:2406.11741:40732905</guid><pubDate>Wed, 19 Jun 2024 22:03:08 GMT</pubDate><description>&lt;p&gt;Transcendence: Generative Models Can Outperform the Experts That Train Them&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2406.11741/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Transcendence: Generative Models Can Outperform The Experts That Train Them — mentioned by foolishbard</title><link>https://news.ycombinator.com/item?id=40732245</link><guid isPermaLink="false">urn:hackerpapers:mention:2406.11741:40732245</guid><pubDate>Wed, 19 Jun 2024 20:50:59 GMT</pubDate><description>&lt;p&gt;There&amp;#x27;s a chance that these systems can actually out perform their training data and be better than the sum of their parts. New work out Harvard talks about this idea of &amp;quot;transcendence&amp;quot; https://arxiv.org/abs/2406.11741 While this is a new area, it would be naive to write this off as just science fiction.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2406.11741/"&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>Transcendence: Generative Models Can Outperform The Experts That Train Them — HN submission</title><link>https://news.ycombinator.com/item?id=40725241</link><guid isPermaLink="false">urn:hackerpapers:submission:2406.11741:40725241</guid><pubDate>Wed, 19 Jun 2024 05:51:44 GMT</pubDate><description>&lt;p&gt;Transcendence: Generative Models Can Outperform the Experts That Train Them&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2406.11741/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Transcendence: Generative Models Can Outperform The Experts That Train Them — HN submission</title><link>https://news.ycombinator.com/item?id=40716708</link><guid isPermaLink="false">urn:hackerpapers:submission:2406.11741:40716708</guid><pubDate>Tue, 18 Jun 2024 11:55:02 GMT</pubDate><description>&lt;p&gt;Transcendence: Generative Models Can Outperform the Experts That Train Them&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;4 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2406.11741/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
