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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Quantifying the Energy Consumption and Carbon Emissions of LLM Inference via Simulations · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2507.11417/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2507.11417/feed.xml" rel="self" type="application/rss+xml" /><item><title>Quantifying the Energy Consumption and Carbon Emissions of LLM Inference via Simulations — mentioned by ath3nd</title><link>https://news.ycombinator.com/item?id=44615660</link><guid isPermaLink="false">urn:hackerpapers:mention:2507.11417:44615660</guid><pubDate>Sat, 19 Jul 2025 14:18:11 GMT</pubDate><description>&lt;p&gt;I think you are the ine missing the forest for the trees. - The energy efficiency and cost improvements of LLMs has plateau-ed as of late. https://arxiv.org/html/2507.11417v1 - The improvements from each subsequent model have also plateau-ed, with even regressions being noticeable - The biggest players are so wildly unprofitable that they are already trying to change their plans or squeeze their current fanbase and raise their rates https://news.ycombinator.com/item?id=44598254 https://www.wheresyoured.at/anthropic-is-bleeding-out/ - And, as it turns out, experienced developers are 19% less…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2507.11417/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.DC</category></item></channel></rss>
