<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Flip Graphs for Matrix Multiplication · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2212.01175/</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/2212.01175/feed.xml" rel="self" type="application/rss+xml" /><item><title>Flip Graphs for Matrix Multiplication — mentioned by friederrr</title><link>https://news.ycombinator.com/item?id=43992332</link><guid isPermaLink="false">urn:hackerpapers:mention:2212.01175:43992332</guid><pubDate>Thu, 15 May 2025 06:22:09 GMT</pubDate><description>&lt;p&gt;One of the researchers quoted in Nature link here... in the past, when DeepMind published &amp;quot;AlphaTensor&amp;quot; [1][2] in October 2022, it took a single day (!!), see [3], for improvements to the AlphaTensor-based scheme to be discovered. This was then a few months later generalized into a significantly more comprehensive scheme [4]. I do not know whether the more general scheme that was discovered in [4] made its way back to some improved version of AlphaTensor - but this nonetheless shows that AlphaEvolve may also change, as it becomes absorbed by the community. [1] Blog…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2212.01175/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.SC</category></item><item><title>Flip Graphs for Matrix Multiplication — mentioned by eesmith</title><link>https://news.ycombinator.com/item?id=36050903</link><guid isPermaLink="false">urn:hackerpapers:mention:2212.01175:36050903</guid><pubDate>Tue, 23 May 2023 21:10:06 GMT</pubDate><description>&lt;p&gt;For context, this video was published yesterday. It concerning matrix multiplication news from the end of last year. It links to an article from last fall, at https://www.quantamagazine.org/ai-reveals-new-possibilities-... , saying: &amp;gt; Last month, a team at the artificial intelligence company DeepMind showed how to tackle the problem from a new direction, reporting in a paper in Nature that they’d successfully trained a neural network to discover new fast algorithms for matrix multiplication. It was as if the AI had found an unknown strategy for solving a monstrously complex Rubik’s Cube. As…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2212.01175/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.SC</category></item></channel></rss>
