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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Scaling Recurrent Neural Networks to a Billion Parameters with Zero-Order Optimization · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2505.17852/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:27:26 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2505.17852/feed.xml" rel="self" type="application/rss+xml" /><item><title>Scaling Recurrent Neural Networks to a Billion Parameters with Zero-Order Optimization — HN submission</title><link>https://news.ycombinator.com/item?id=44099620</link><guid isPermaLink="false">urn:hackerpapers:submission:2505.17852:44099620</guid><pubDate>Mon, 26 May 2025 17:35:03 GMT</pubDate><description>&lt;p&gt;Scaling RNNs to Billions of Parameters with Zero Order&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;7 points; 3 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2505.17852/"&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>
