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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>A Modern Self-Referential Weight Matrix That Learns to Modify Itself · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2202.05780/</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/2202.05780/feed.xml" rel="self" type="application/rss+xml" /><item><title>A Modern Self-Referential Weight Matrix That Learns to Modify Itself — mentioned by logicchains</title><link>https://news.ycombinator.com/item?id=47423345</link><guid isPermaLink="false">urn:hackerpapers:mention:2202.05780:47423345</guid><pubDate>Wed, 18 Mar 2026 09:07:30 GMT</pubDate><description>&lt;p&gt;There&amp;#x27;s already a model capable of autonomous learning on the small scale, just nobody&amp;#x27;s tried to scale it up yet: https://arxiv.org/abs/2202.05780&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2202.05780/"&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>A Modern Self-Referential Weight Matrix That Learns to Modify Itself — mentioned by logicchains</title><link>https://news.ycombinator.com/item?id=46922157</link><guid isPermaLink="false">urn:hackerpapers:mention:2202.05780:46922157</guid><pubDate>Sat, 07 Feb 2026 08:01:04 GMT</pubDate><description>&lt;p&gt;Schmidhuber solved it at a small scale: https://arxiv.org/abs/2202.05780 .&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2202.05780/"&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>A Modern Self-Referential Weight Matrix That Learns to Modify Itself — mentioned by logicchains</title><link>https://news.ycombinator.com/item?id=42708471</link><guid isPermaLink="false">urn:hackerpapers:mention:2202.05780:42708471</guid><pubDate>Wed, 15 Jan 2025 07:54:53 GMT</pubDate><description>&lt;p&gt;&amp;gt;Contextual real-time weight modification is definitely one of the breakthroughs required for AGI. It&amp;#x27;s already been invented: https://arxiv.org/abs/2202.05780 . That design is just very inefficient to scale up / use as a transformer backbone.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2202.05780/"&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>A Modern Self-Referential Weight Matrix That Learns to Modify Itself — mentioned by logicchains</title><link>https://news.ycombinator.com/item?id=38645920</link><guid isPermaLink="false">urn:hackerpapers:mention:2202.05780:38645920</guid><pubDate>Thu, 14 Dec 2023 19:20:33 GMT</pubDate><description>&lt;p&gt;&amp;gt;atrophying his skills too much to do anything now that the industry is moving so quikcly. His recent papers are still cutting edge. He&amp;#x27;s already solved self-improving AI: https://arxiv.org/abs/2202.05780 , it just needs to be scaled up.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2202.05780/"&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>A Modern Self-Referential Weight Matrix That Learns to Modify Itself — HN submission</title><link>https://news.ycombinator.com/item?id=31016447</link><guid isPermaLink="false">urn:hackerpapers:submission:2202.05780:31016447</guid><pubDate>Wed, 13 Apr 2022 16:12:30 GMT</pubDate><description>&lt;p&gt;A modern self-referential weight matrix that learns to modify itself&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;166 points; 46 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2202.05780/"&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>A Modern Self-Referential Weight Matrix That Learns to Modify Itself — HN submission</title><link>https://news.ycombinator.com/item?id=30449044</link><guid isPermaLink="false">urn:hackerpapers:submission:2202.05780:30449044</guid><pubDate>Thu, 24 Feb 2022 01:05:59 GMT</pubDate><description>&lt;p&gt;A Modern Self-Referential Weight Matrix That Learns To Modify Itself&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/2202.05780/"&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>
