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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>On Randomness in Agentic Evals · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2602.07150/</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/2602.07150/feed.xml" rel="self" type="application/rss+xml" /><item><title>On Randomness in Agentic Evals — mentioned by suttontom</title><link>https://news.ycombinator.com/item?id=48507827</link><guid isPermaLink="false">urn:hackerpapers:mention:2602.07150:48507827</guid><pubDate>Fri, 12 Jun 2026 18:40:23 GMT</pubDate><description>&lt;p&gt;You&amp;#x27;re wrong in lots of ways. Some model cards do show regressions on benchmarks for newer models on specific tasks: https://storage.googleapis.com/deepmind-media/Model-Cards/Ge... This wasn&amp;#x27;t a new model but updates to models backed by numbers being better can make the model worse: https://openai.com/index/sycophancy-in-gpt-4o/ The slight increases in performance/benchmarks may be just noise: https://arxiv.org/pdf/2602.07150&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2602.07150/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>On Randomness in Agentic Evals — HN submission</title><link>https://news.ycombinator.com/item?id=47047862</link><guid isPermaLink="false">urn:hackerpapers:submission:2602.07150:47047862</guid><pubDate>Tue, 17 Feb 2026 14:29:26 GMT</pubDate><description>&lt;p&gt;Randomness in Agentic Evals&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2602.07150/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>On Randomness in Agentic Evals — HN submission</title><link>https://news.ycombinator.com/item?id=46957051</link><guid isPermaLink="false">urn:hackerpapers:submission:2602.07150:46957051</guid><pubDate>Tue, 10 Feb 2026 09:00:32 GMT</pubDate><description>&lt;p&gt;Randomness in Agentic Evals&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;3 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2602.07150/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
