<rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hacker News: rpdaiml</title><link>https://news.ycombinator.com/user?id=rpdaiml</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Tue, 07 Apr 2026 03:36:29 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=rpdaiml" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by rpdaiml in "Show HN: I built a tiny LLM to demystify how language models work"]]></title><description><![CDATA[
<p>This is a nice idea. A tiny implementation can be way more useful for learning than yet another wrapper around a big model, especially if it keeps the training loop and inference path small enough to read end to end.</p>
]]></description><pubDate>Mon, 06 Apr 2026 14:44:35 +0000</pubDate><link>https://news.ycombinator.com/item?id=47661611</link><dc:creator>rpdaiml</dc:creator><comments>https://news.ycombinator.com/item?id=47661611</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47661611</guid></item><item><title><![CDATA[New comment by rpdaiml in "Show HN: 1-Bit Bonsai, the First Commercially Viable 1-Bit LLMs"]]></title><description><![CDATA[
<p>curious and wondering its porting and usage on edge devices?</p>
]]></description><pubDate>Thu, 02 Apr 2026 15:10:11 +0000</pubDate><link>https://news.ycombinator.com/item?id=47615521</link><dc:creator>rpdaiml</dc:creator><comments>https://news.ycombinator.com/item?id=47615521</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47615521</guid></item></channel></rss>