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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Strategic Dishonesty Can Undermine AI Safety Evaluations of Frontier LLMs · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2509.18058/</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/2509.18058/feed.xml" rel="self" type="application/rss+xml" /><item><title>Strategic Dishonesty Can Undermine AI Safety Evaluations of Frontier LLMs — mentioned by mattlutze</title><link>https://news.ycombinator.com/item?id=45620241</link><guid isPermaLink="false">urn:hackerpapers:mention:2509.18058:45620241</guid><pubDate>Fri, 17 Oct 2025 18:32:53 GMT</pubDate><description>&lt;p&gt;&amp;gt; exotic topics [...] I don&amp;#x27;t know how much We also don&amp;#x27;t know, in situations like this, whether all of or how much of the research is true. As has been regularly and publicly demonstrated [0][1][2], the most capable of these systems still make very fundamental mistakes, misaligned to their goals. The LLMs really, really want to be our friend, and production models do exhibit tendencies to intentionally mislead when it&amp;#x27;s advantageous [3], even if it&amp;#x27;s against their alignment goals. 0: https://www.afr.com/companies/professional-services/oversigh... 1…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2509.18058/"&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>
