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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AlphaEvolve: A coding agent for scientific and algorithmic discovery · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2506.13131/</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/2506.13131/feed.xml" rel="self" type="application/rss+xml" /><item><title>AlphaEvolve: A coding agent for scientific and algorithmic discovery — mentioned by ianm218</title><link>https://news.ycombinator.com/item?id=48746745</link><guid isPermaLink="false">urn:hackerpapers:mention:2506.13131:48746745</guid><pubDate>Wed, 01 Jul 2026 13:48:13 GMT</pubDate><description>&lt;p&gt;I feel like the topic has been discussed ad nausiem but: * Software security - I.e. Mozilla blog post on using Mythos for software security [1] * Algorithms - AlphaEvolve makes real progress on matrix multiplication [2] * Open source - Backlog crushing in openvpn [3] * Corporate - CloudFlare Oauth workers [4] People are clearly using AI to ship real work that people end up using directly or indirectly. Projects like Godot are also in a weird spot though. [1]. https://blog.mozilla.org/en/privacy-security/ai-security-zer... [2] https://arxiv.org/abs/2506.13131 [3]…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2506.13131/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>AlphaEvolve: A coding agent for scientific and algorithmic discovery — mentioned by teravor</title><link>https://news.ycombinator.com/item?id=48305485</link><guid isPermaLink="false">urn:hackerpapers:mention:2506.13131:48305485</guid><pubDate>Thu, 28 May 2026 06:45:14 GMT</pubDate><description>&lt;p&gt;so basically just brute force the kernel. there are more elegant ways to leverage an LLM, see AlphaEvolve: https://arxiv.org/abs/2506.13131 it&amp;#x27;s difficult to frame most coding tasks in such a way where you can trivially verify correctness.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2506.13131/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>AlphaEvolve: A coding agent for scientific and algorithmic discovery — mentioned by teravor</title><link>https://news.ycombinator.com/item?id=48201521</link><guid isPermaLink="false">urn:hackerpapers:mention:2506.13131:48201521</guid><pubDate>Wed, 20 May 2026 00:27:51 GMT</pubDate><description>&lt;p&gt;&amp;gt; Am I the only one who wasn’t particularly impressed by AutoResearch? isn&amp;#x27;t it just a nerfed AlphaEvolve? https://arxiv.org/abs/2506.13131&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2506.13131/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>AlphaEvolve: A coding agent for scientific and algorithmic discovery — mentioned by coppsilgold</title><link>https://news.ycombinator.com/item?id=47733151</link><guid isPermaLink="false">urn:hackerpapers:mention:2506.13131:47733151</guid><pubDate>Sat, 11 Apr 2026 19:07:28 GMT</pubDate><description>&lt;p&gt;LLMs are wordsmith oracles. A lot of effort went into trying to coax interactive intelligence from them but the truth is that you could have probably always harnessed the base models directly to do very useful things. The instruct tuned models give your harness even more degrees of freedom. A while ago, the autoresearch[1] harness went viral, yet it&amp;#x27;s but a highly simplified version of AlphaEvolve[2][3][4]. In the cybersecury context, you can envision a clever harness that probes every function in a codebase for vulnerabilities, then bubbles the candidates up to their callsites (and probes…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2506.13131/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>AlphaEvolve: A coding agent for scientific and algorithmic discovery — HN submission</title><link>https://news.ycombinator.com/item?id=47380252</link><guid isPermaLink="false">urn:hackerpapers:submission:2506.13131:47380252</guid><pubDate>Sat, 14 Mar 2026 19:30:42 GMT</pubDate><description>&lt;p&gt;Show HN: Karpathy&amp;#x27;s Autoresearch with Evolutionary Database&lt;/p&gt;&lt;p&gt;Integrated an evolutionary database to Karpathy&amp;#x27;s [autoresearch](https://github.com/karpathy/autoresearch) project that replaces the simple tsv file based logging in the original project. Evolutionary algorithms have shown to be a powerful tool for autonomously discovering optimal solutions to problems with large search spaces. Famously, Google DeepMind&amp;#x27;s [AlphaEvolve](https://arxiv.org/abs/2506.13131) system uses evolutionary algorithms to discover state of the art matrix multiplication algorithms. The implementation of the evolutionary database itself is based heavily on the implementation…&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2506.13131/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>AlphaEvolve: A coding agent for scientific and algorithmic discovery — mentioned by jasonjmcghee</title><link>https://news.ycombinator.com/item?id=46212162</link><guid isPermaLink="false">urn:hackerpapers:mention:2506.13131:46212162</guid><pubDate>Tue, 09 Dec 2025 23:31:13 GMT</pubDate><description>&lt;p&gt;It doesn&amp;#x27;t mention it in the article, but guessing this is based on / inspired by AlphaEvolve? Though I&amp;#x27;m not sure the public can access AlphaEvolve yet. (https://arxiv.org/abs/2506.13131)&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2506.13131/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item></channel></rss>
