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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>The Computational Limits of Deep Learning · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2007.05558/</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/2007.05558/feed.xml" rel="self" type="application/rss+xml" /><item><title>The Computational Limits of Deep Learning — mentioned by Pandabob</title><link>https://news.ycombinator.com/item?id=24279601</link><guid isPermaLink="false">urn:hackerpapers:mention:2007.05558:24279601</guid><pubDate>Wed, 26 Aug 2020 06:01:39 GMT</pubDate><description>&lt;p&gt;Here&amp;#x27;s a random collection of thoughts that I have about the progress of Artificial Intelligence (AI): Machine learning (ML) and Deep Learning (DL) in particular benefit from fast computer chips. The most impressive gains in AI in the 2010s (Computer Vision &amp;amp; Natural Language Processing) were made thanks to DL. There&amp;#x27;s a famous post by AI researcher Rich Sutton, which summarises this fairly neatly [1]. Now, this connection between DL and fast chips would tie the progress of AI pretty tightly to the progress of Moore&amp;#x27;s Law [2]. There&amp;#x27;s some compelling evidence that Moore&amp;#x27;s Law is at least…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2007.05558/"&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 Computational Limits of Deep Learning — HN submission</title><link>https://news.ycombinator.com/item?id=24192117</link><guid isPermaLink="false">urn:hackerpapers:submission:2007.05558:24192117</guid><pubDate>Mon, 17 Aug 2020 21:07:54 GMT</pubDate><description>&lt;p&gt;The Computational Limits of Deep Learning&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;168 points; 73 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2007.05558/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>The Computational Limits of Deep Learning — HN submission</title><link>https://news.ycombinator.com/item?id=23911079</link><guid isPermaLink="false">urn:hackerpapers:submission:2007.05558:23911079</guid><pubDate>Tue, 21 Jul 2020 21:15:14 GMT</pubDate><description>&lt;p&gt;The Computational Limits of Deep Learning&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2007.05558/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>The Computational Limits of Deep Learning — HN submission</title><link>https://news.ycombinator.com/item?id=23894242</link><guid isPermaLink="false">urn:hackerpapers:submission:2007.05558:23894242</guid><pubDate>Mon, 20 Jul 2020 02:48:16 GMT</pubDate><description>&lt;p&gt;The Computational Limits of Deep Learning&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2007.05558/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>The Computational Limits of Deep Learning — HN submission</title><link>https://news.ycombinator.com/item?id=23885504</link><guid isPermaLink="false">urn:hackerpapers:submission:2007.05558:23885504</guid><pubDate>Sat, 18 Jul 2020 22:52:29 GMT</pubDate><description>&lt;p&gt;The Computational Limits of Deep Learning&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2007.05558/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>The Computational Limits of Deep Learning — HN submission</title><link>https://news.ycombinator.com/item?id=23881092</link><guid isPermaLink="false">urn:hackerpapers:submission:2007.05558:23881092</guid><pubDate>Sat, 18 Jul 2020 12:53:06 GMT</pubDate><description>&lt;p&gt;The Computational Limits of Deep Learning&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;4 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2007.05558/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>The Computational Limits of Deep Learning — HN submission</title><link>https://news.ycombinator.com/item?id=23875418</link><guid isPermaLink="false">urn:hackerpapers:submission:2007.05558:23875418</guid><pubDate>Fri, 17 Jul 2020 20:53:51 GMT</pubDate><description>&lt;p&gt;The Computational Limits of Deep Learning&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;16 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2007.05558/"&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>
