<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Valdis Gavars</title><description>Engineering strategy, AI, and building things that work.</description><link>https://gavars.dev/</link><item><title>Everyone&apos;s Sharing the Chart. Almost Nobody Read the Paper.</title><link>https://gavars.dev/blog/everyone-sharing-the-chart/</link><guid isPermaLink="true">https://gavars.dev/blog/everyone-sharing-the-chart/</guid><description>Anthropic published research on AI&apos;s labor market impact. The chart is everywhere. Here&apos;s what the blue and red actually mean — and what the data found.</description><pubDate>Sat, 07 Mar 2026 00:00:00 GMT</pubDate></item><item><title>AI Feels Like Magic Until You Understand It. Then It Feels Like Engineering.</title><link>https://gavars.dev/blog/understanding-llms/</link><guid isPermaLink="true">https://gavars.dev/blog/understanding-llms/</guid><description>LLMs aren&apos;t magic and they aren&apos;t useless. Understanding how they actually work — from statistical probability to context windows — changes everything about how you use them.</description><pubDate>Fri, 20 Feb 2026 00:00:00 GMT</pubDate></item><item><title>The Radical Middle</title><link>https://gavars.dev/blog/the-radical-middle/</link><guid isPermaLink="true">https://gavars.dev/blog/the-radical-middle/</guid><description>AI is amazing. AI doesn&apos;t solve everything. The interesting part is figuring out which is which.</description><pubDate>Sun, 15 Feb 2026 00:00:00 GMT</pubDate></item></channel></rss>