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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AI Control: Improving Safety Despite Intentional Subversion · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2312.06942/</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/2312.06942/feed.xml" rel="self" type="application/rss+xml" /><item><title>AI Control: Improving Safety Despite Intentional Subversion — mentioned by andrewedstrom</title><link>https://news.ycombinator.com/item?id=39186223</link><guid isPermaLink="false">urn:hackerpapers:mention:2312.06942:39186223</guid><pubDate>Tue, 30 Jan 2024 03:54:46 GMT</pubDate><description>&lt;p&gt;You may be interested in a recent AI safety paper by Redwood Research. In it, they have GPT-4 generate solutions to coding problems, but instruct it to insert backdoors into the solutions some fraction of the time. Then, they explore different ways to use a weaker model (GPT-3.5) to detect these backdoors. Pretty interesting. [1] https://arxiv.org/abs/2312.06942&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2312.06942/"&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>
