<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: nihalani</title><link>https://news.ycombinator.com/user?id=nihalani</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Fri, 09 Oct 2026 06:12:08 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=nihalani" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by nihalani in "Sharing AI progress in mathematics"]]></title><description><![CDATA[
<p>Plus one to this comment so much a scaling laws, test time compute and LLM architecture decisions can be traced back/understood if you view LLMs as efficient compression databases that search based on an a retrieval query. Just turns out that they are finding super novel compression techniques that solve unknown answer</p>
]]></description><pubDate>Thu, 08 Oct 2026 05:35:07 +0000</pubDate><link>https://news.ycombinator.com/item?id=50002093</link><dc:creator>nihalani</dc:creator><comments>https://news.ycombinator.com/item?id=50002093</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=50002093</guid></item></channel></rss>