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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>The Avengers: A Simple Recipe for Uniting Smaller Language Models to Challenge Proprietary Giants · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2505.19797/</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/2505.19797/feed.xml" rel="self" type="application/rss+xml" /><item><title>The Avengers: A Simple Recipe for Uniting Smaller Language Models to Challenge Proprietary Giants — HN submission</title><link>https://news.ycombinator.com/item?id=49063454</link><guid isPermaLink="false">urn:hackerpapers:submission:2505.19797:49063454</guid><pubDate>Sun, 26 Jul 2026 23:35:15 GMT</pubDate><description>&lt;p&gt;Show HN: Optimize and serve models with Fable quality at half the cost&lt;/p&gt;&lt;p&gt;Hi HN, we built world-model-optimizer, an open source tool to continually improve a specialized model for an agent. It does this by simulating production tool responses through text world modeling (similar to QwenAgentWorld, summary here https://x.com/silennai/status/2073887455884058814). We can then use this to train a router for frontier, OS, and local models (use defaults or pick which ones to optimize against). wmo ingests agent traces, builds the simulation, embeds the traces, runs different models you choose against the simulation scenarios, and then uses a KNN for model selection…&lt;/p&gt;&lt;p&gt;71 points; 30 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2505.19797/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
