<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2504.10449/</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/2504.10449/feed.xml" rel="self" type="application/rss+xml" /><item><title>M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models — mentioned by cubefox</title><link>https://news.ycombinator.com/item?id=43838433</link><guid isPermaLink="false">urn:hackerpapers:mention:2504.10449:43838433</guid><pubDate>Tue, 29 Apr 2025 21:48:39 GMT</pubDate><description>&lt;p&gt;Another recent transformer/SSM hybrid is &amp;quot;M1&amp;quot;, with a more than 3x claimed inference speed-up compared to equivalent transformers: https://arxiv.org/pdf/2504.10449 IBM is claiming at least a 2x inference speed-up with Bamba. Both groups say that future SSM optimizations to vLLM would lead to further inference speed improvement.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2504.10449/"&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>M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models — HN submission</title><link>https://news.ycombinator.com/item?id=43695562</link><guid isPermaLink="false">urn:hackerpapers:submission:2504.10449:43695562</guid><pubDate>Tue, 15 Apr 2025 17:00:18 GMT</pubDate><description>&lt;p&gt;M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;33 points; 3 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2504.10449/"&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>
