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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>LLMs + Security = Trouble · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2602.08422/</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/2602.08422/feed.xml" rel="self" type="application/rss+xml" /><item><title>LLMs + Security = Trouble — mentioned by westurner</title><link>https://news.ycombinator.com/item?id=49879908</link><guid isPermaLink="false">urn:hackerpapers:mention:2602.08422:49879908</guid><pubDate>Mon, 28 Sep 2026 15:47:48 GMT</pubDate><description>&lt;p&gt;What if there were a zero trust sandbox with costed opcodes? Then would there be alignment in AI systems as compared with non-AI systems? Even with a perfect sandbox, an agent can slip in vulnerable code intentionally or accidentally. How different of a problem is that from hiring and HR is that? Idk. Perhaps easier to terminate a model. &amp;quot;On the Impossible Safety of Large AI Models&amp;quot; (2022) https://arxiv.org/abs/2209.15259 &amp;quot;LLMs + Security = Trouble&amp;quot; (2026) https://arxiv.org/abs/2602.08422&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2602.08422/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CR</category></item></channel></rss>
