<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>MD Sunbeam | Writing</title><description>Technical essays about evaluation, learning systems, and the assumptions that determine their behavior.</description><link>https://mdsunbeam.com</link><language>en-us</language><item><title>What an Evaluation Harness Decides</title><link>https://mdsunbeam.com/blog/evaluation-harness</link><guid isPermaLink="true">https://mdsunbeam.com/blog/evaluation-harness</guid><description>The model is only one part of a closed-loop benchmark. Parsing, recovery, timing, and rollout accounting determine what its score means.</description><pubDate>Sat, 15 Aug 2026 00:00:00 GMT</pubDate></item><item><title>What a Convolution Assumes</title><link>https://mdsunbeam.com/blog/unraveling_convolutions</link><guid isPermaLink="true">https://mdsunbeam.com/blog/unraveling_convolutions</guid><description>Convolution is a wager: nearby values interact, and one rule should work everywhere. That explains both its efficiency and its blind spots.</description><pubDate>Mon, 13 May 2024 00:00:00 GMT</pubDate></item><item><title>One ReLU Neuron, Four Learning Rates</title><link>https://mdsunbeam.com/blog/simple_beautiful_nns</link><guid isPermaLink="true">https://mdsunbeam.com/blog/simple_beautiful_nns</guid><description>A one-line recurrence separates smooth convergence, oscillation, a two-cycle, and a dead ReLU.</description><pubDate>Sat, 13 Apr 2024 00:00:00 GMT</pubDate></item></channel></rss>