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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Jan-nano Technical Report · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2506.22760/</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/2506.22760/feed.xml" rel="self" type="application/rss+xml" /><item><title>Jan-nano Technical Report — mentioned by cbcoutinho</title><link>https://news.ycombinator.com/item?id=44841634</link><guid isPermaLink="false">urn:hackerpapers:mention:2506.22760:44841634</guid><pubDate>Fri, 08 Aug 2025 20:59:26 GMT</pubDate><description>&lt;p&gt;From the paper: &amp;gt; Most language models face a fundamental tradeoff where powerful capabilities require substantial computational resources. We shatter this constraint with Jan-nano, a 4B parameter language model that redefines efficiency through radical specialization: instead of trying to know everything, it masters the art of finding anything instantly. Fine-tuned from Qwen3-4B using our novel multi-stage Reinforcement Learning with Verifiable Rewards (RLVR) system that completely eliminates reliance on next token prediction training (SFT), Jan-nano achieves 83.2% on SimpleQA benchmark with…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2506.22760/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
