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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2204.05149/</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/2204.05149/feed.xml" rel="self" type="application/rss+xml" /><item><title>The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink — mentioned by gcr</title><link>https://news.ycombinator.com/item?id=44975541</link><guid isPermaLink="false">urn:hackerpapers:mention:2204.05149:44975541</guid><pubDate>Thu, 21 Aug 2025 17:26:10 GMT</pubDate><description>&lt;p&gt;My gosh you&amp;#x27;re right! The paper in question is https://arxiv.org/pdf/2204.05149, &amp;quot;The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink&amp;quot;&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2204.05149/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink — mentioned by jeffbee</title><link>https://news.ycombinator.com/item?id=44802140</link><guid isPermaLink="false">urn:hackerpapers:mention:2204.05149:44802140</guid><pubDate>Tue, 05 Aug 2025 18:26:07 GMT</pubDate><description>&lt;p&gt;I&amp;#x27;m not sure if that&amp;#x27;s true of not. As the article indicates, training for AI is naturally demand responsive. Training can move on the clock, and it can move around the world to minimize carbon footprint. See the PDF I just love to share: &amp;quot;Revamped Happy CO2e Paper&amp;quot; https://arxiv.org/pdf/2204.05149&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2204.05149/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink — mentioned by jeffbee</title><link>https://news.ycombinator.com/item?id=44654024</link><guid isPermaLink="false">urn:hackerpapers:mention:2204.05149:44654024</guid><pubDate>Tue, 22 Jul 2025 23:04:08 GMT</pubDate><description>&lt;p&gt;These conclusions are broadly compatible with &amp;quot;The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink&amp;quot; or, as I prefer, the PDF metadata title that they left in there, &amp;quot;Revamped Happy CO2e Paper&amp;quot;. Despite the incredible focus by the press on this topic, Mistral&amp;#x27;s lifecycle emissions in 18 months were less than the typical annual emissions of a single A320neo in commercial service. https://arxiv.org/pdf/2204.05149&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2204.05149/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink — mentioned by kinston</title><link>https://news.ycombinator.com/item?id=34402897</link><guid isPermaLink="false">urn:hackerpapers:mention:2204.05149:34402897</guid><pubDate>Mon, 16 Jan 2023 17:18:42 GMT</pubDate><description>&lt;p&gt;People seem to miss the specific thing that was controversial about this paper: The paper gives inaccurate estimates of the carbon dioxide emissions that result from machine learning. My understanding is that this is the main reason why Google wanted the paper pulled. You can&amp;#x27;t have a paper by Google authors saying incorrect things about how much CO2 Google is emitting. The authors refused. They argued that they gave a citation for their numbers, and it&amp;#x27;s not their problem if the paper they cite is inaccurate. Eventually Google did publish a response: https://arxiv.org/abs/2204.05149 But this…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2204.05149/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink — HN submission</title><link>https://news.ycombinator.com/item?id=31064294</link><guid isPermaLink="false">urn:hackerpapers:submission:2204.05149:31064294</guid><pubDate>Sun, 17 Apr 2022 20:43:00 GMT</pubDate><description>&lt;p&gt;The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 1 discussion reply on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2204.05149/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
