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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Code Vulnerability Detection Across Different Programming Languages with AI Models · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2508.11710/</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/2508.11710/feed.xml" rel="self" type="application/rss+xml" /><item><title>Code Vulnerability Detection Across Different Programming Languages with AI Models — mentioned by goku12</title><link>https://news.ycombinator.com/item?id=45481853</link><guid isPermaLink="false">urn:hackerpapers:mention:2508.11710:45481853</guid><pubDate>Sun, 05 Oct 2025 14:42:06 GMT</pubDate><description>&lt;p&gt;Here are some domain-specific examples of how AI improved (not replaced) human performance like a tool: 1. How AI revolutionized protein science, but didn’t end it: https://www.quantamagazine.org/how-ai-revolutionized-protein... This is about DeepMind&amp;#x27;s AlphaFold 2. It&amp;#x27;s arguably a big deal in medical science. How do you propose humans do it? 2. Code vulnerability detection across different programming languages with AI Models: https://arxiv.org/abs/2508.11710 &amp;gt; What theorems are meaningful and impactful that humans can’t prove without AI? I&amp;#x27;m not a mathematician. I cannot give a definitive…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2508.11710/"&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>
