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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>The AI Scaling Wall of Diminishing Returns: Of LLMs, Electric Dogs, and General Relativity · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2512.20264/</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/2512.20264/feed.xml" rel="self" type="application/rss+xml" /><item><title>The AI Scaling Wall of Diminishing Returns: Of LLMs, Electric Dogs, and General Relativity — mentioned by cyanydeez</title><link>https://news.ycombinator.com/item?id=49744450</link><guid isPermaLink="false">urn:hackerpapers:mention:2512.20264:49744450</guid><pubDate>Thu, 17 Sep 2026 18:10:14 GMT</pubDate><description>&lt;p&gt;&amp;gt;The scaling laws hold that a language model grows more capable with more parameters and more training data. Which is a choice, not a &amp;quot;law&amp;quot;: https://arxiv.org/abs/2510.13786 https://www.alphaxiv.org/abs/2512.20264 https://arxiv.org/abs/2607.05155&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2512.20264/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>astro-ph.IM</category></item></channel></rss>
