<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: singh_abinashi</title><link>https://news.ycombinator.com/user?id=singh_abinashi</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Sat, 03 Oct 2026 04:13:19 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=singh_abinashi" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by singh_abinashi in "Launch HN: Magnitude (YC S25) – Self-optimizing inference engine for agents"]]></title><description><![CDATA[
<p>Curious how the evals for this work on real agent workloads versus synthetic benchmarks. In my experience, agent cost and latency profiles change a lot once there's a tool-use loop involved, because the token distribution gets much burstier than a single prompt. Did you evaluate on multi-step tool-calling traces, or mostly single-turn?</p>
]]></description><pubDate>Wed, 30 Sep 2026 23:03:48 +0000</pubDate><link>https://news.ycombinator.com/item?id=49915610</link><dc:creator>singh_abinashi</dc:creator><comments>https://news.ycombinator.com/item?id=49915610</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49915610</guid></item></channel></rss>