<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Energy on libcom.de</title><link>https://www.libcom.de/en/tags/energy/</link><description>Recent content in Energy on libcom.de</description><generator>Hugo</generator><language>en-GB</language><lastBuildDate>Mon, 07 Sep 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.libcom.de/en/tags/energy/index.xml" rel="self" type="application/rss+xml"/><item><title>AI and Electricity: A One-Sided Debate</title><link>https://www.libcom.de/en/blog/ai-electricity-one-sided-debate/</link><pubDate>Mon, 07 Sep 2026 00:00:00 +0000</pubDate><guid>https://www.libcom.de/en/blog/ai-electricity-one-sided-debate/</guid><description>&lt;p&gt;Long before the first AI images flooded the timelines, before ChatGPT became a household word, rooms full of graphics cards stood in data centres around the world — computing day and night, evaporating megawatts. Render farms for films. Supercomputers for weather models and climate research. And crypto-mining rigs, whose power consumption was criticised early and rightly. All of these are evolutionary stages of the same digital infrastructure. Then came language models, and suddenly every kilowatt-hour sounded like a confession — as though the appetite for power were fundamentally new and the question of its usefulness obsolete.&lt;/p&gt;</description></item></channel></rss>