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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>RepliBench: Evaluating the Autonomous Replication Capabilities of Language Model Agents · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2504.18565/</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/2504.18565/feed.xml" rel="self" type="application/rss+xml" /><item><title>RepliBench: Evaluating the Autonomous Replication Capabilities of Language Model Agents — mentioned by falcor84</title><link>https://news.ycombinator.com/item?id=46315767</link><guid isPermaLink="false">urn:hackerpapers:mention:2504.18565:46315767</guid><pubDate>Thu, 18 Dec 2025 17:28:28 GMT</pubDate><description>&lt;p&gt;This is a really good report! I was particularly fascinated about the self-replication section [0]; I wasn&amp;#x27;t aware of the RepliBench paper [1], and now that I skimmed through it, I&amp;#x27;m quite concerned. It was clear to me before that there&amp;#x27;s nothing particular stopping an AI from replicating, but seeing the already high success percentage at current levels of technology (e.g. 46% success of replicating itself onto compute) is very scary. [0] https://www.aisi.gov.uk/frontier-ai-trends-report#self-repli... [1] https://arxiv.org/abs/2504.18565&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2504.18565/"&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>
