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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Small Language Models are the Future of Agentic AI · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2506.02153/</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/2506.02153/feed.xml" rel="self" type="application/rss+xml" /><item><title>Small Language Models are the Future of Agentic AI — HN submission</title><link>https://news.ycombinator.com/item?id=45549900</link><guid isPermaLink="false">urn:hackerpapers:submission:2506.02153:45549900</guid><pubDate>Sat, 11 Oct 2025 15:29:17 GMT</pubDate><description>&lt;p&gt;Agentic web browsing can&amp;#x27;t scale with cloud LLMs&lt;/p&gt;&lt;p&gt;TLDR: - Agentic web browsing can’t scale if every page action triggers an LLM. - Small language models can power most interactive AI experiences. - The browser is the ideal runtime being open, GPU-accelerated, and everywhere. - Agentary.js is an open-source SDK for building agentic workflows that run locally, in the browser. Repo URL: https://github.com/agentary-ai/agentary-js --- Most agentic browsing today sends every click, scroll, or query to a cloud LLM. This doesn’t scale, economically or technically. Each DOM action becomes another API call that is slow and expensive, not to mention a…&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2506.02153/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Small Language Models are the Future of Agentic AI — mentioned by selim-now</title><link>https://news.ycombinator.com/item?id=45437252</link><guid isPermaLink="false">urn:hackerpapers:mention:2506.02153:45437252</guid><pubDate>Wed, 01 Oct 2025 13:08:23 GMT</pubDate><description>&lt;p&gt;isn&amp;#x27;t that the premise of the Nvidia paper? https://arxiv.org/pdf/2506.02153&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2506.02153/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Small Language Models are the Future of Agentic AI — HN submission</title><link>https://news.ycombinator.com/item?id=45291024</link><guid isPermaLink="false">urn:hackerpapers:submission:2506.02153:45291024</guid><pubDate>Thu, 18 Sep 2025 15:40:29 GMT</pubDate><description>&lt;p&gt;Launch HN: Cactus (YC S25) – AI inference on smartphones&lt;/p&gt;&lt;p&gt;Hey HN, Henry &amp;amp; Roman here, we are building Cactus (https://cactuscompute.com/), an AI inference engine specifically designed for phones. We&amp;#x27;re seeing a major push towards on-device AI, and for good reason: on-device AI decreases latency from &amp;gt;1sec to &amp;lt;100ms, guarantees privacy by default, works offline, and doesn&amp;#x27;t rack up a massive API bill at scale. Also, tools and agentic designs make small models really good beyond benchmarks. This has been corroborated by other papers like https://arxiv.org/abs/2506.02153, and we see model companies like DeepMind aggressively going into smaller models…&lt;/p&gt;&lt;p&gt;123 points; 63 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2506.02153/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Small Language Models are the Future of Agentic AI — mentioned by mtone</title><link>https://news.ycombinator.com/item?id=45223489</link><guid isPermaLink="false">urn:hackerpapers:mention:2506.02153:45223489</guid><pubDate>Fri, 12 Sep 2025 15:51:55 GMT</pubDate><description>&lt;p&gt;Do you really need a H200 for this? Seems like something a consumer GPU could do. Smaller models might be ideal [0] as they don&amp;#x27;t require extensive world knowledge and are much more cost efficient/faster. Why can&amp;#x27;t you build this today? [0]: https://arxiv.org/pdf/2506.02153 Small Language Models are the Future of Agentic AI (Nvidia)&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2506.02153/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Small Language Models are the Future of Agentic AI — mentioned by digitcatphd</title><link>https://news.ycombinator.com/item?id=44535287</link><guid isPermaLink="false">urn:hackerpapers:mention:2506.02153:44535287</guid><pubDate>Fri, 11 Jul 2025 18:09:39 GMT</pubDate><description>&lt;p&gt;https://arxiv.org/pdf/2506.02153&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2506.02153/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Small Language Models are the Future of Agentic AI — HN submission</title><link>https://news.ycombinator.com/item?id=44430311</link><guid isPermaLink="false">urn:hackerpapers:submission:2506.02153:44430311</guid><pubDate>Tue, 01 Jul 2025 03:33:49 GMT</pubDate><description>&lt;p&gt;Small language models are the future of agentic AI&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;113 points; 45 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2506.02153/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Small Language Models are the Future of Agentic AI — HN submission</title><link>https://news.ycombinator.com/item?id=44246361</link><guid isPermaLink="false">urn:hackerpapers:submission:2506.02153:44246361</guid><pubDate>Wed, 11 Jun 2025 11:16:33 GMT</pubDate><description>&lt;p&gt;Small Language Models Are the Future of Agentic AI&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;5 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2506.02153/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item></channel></rss>
