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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Deep Learning and Mathematical Intuition: A Review of (Davies et al. 2021) · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2112.04324/</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/2112.04324/feed.xml" rel="self" type="application/rss+xml" /><item><title>Deep Learning and Mathematical Intuition: A Review of (Davies et al. 2021) — mentioned by fault1</title><link>https://news.ycombinator.com/item?id=29523378</link><guid isPermaLink="false">urn:hackerpapers:mention:2112.04324:29523378</guid><pubDate>Sat, 11 Dec 2021 19:10:50 GMT</pubDate><description>&lt;p&gt;I thought this critical paper about the original paper (and maybe rather the news or marketing about the original paper) was fair and helps put things into perspective: https://arxiv.org/abs/2112.04324 So a relatively simple neural net finds statistical regularity. Personally I agree that it probably could have been done with ordinary statistics. I&amp;#x27;m surprised at how viral this story has become.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2112.04324/"&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>Deep Learning and Mathematical Intuition: A Review of (Davies et al. 2021) — mentioned by agnosticmantis</title><link>https://news.ycombinator.com/item?id=29516543</link><guid isPermaLink="false">urn:hackerpapers:mention:2112.04324:29516543</guid><pubDate>Fri, 10 Dec 2021 23:02:03 GMT</pubDate><description>&lt;p&gt;See [0] for a critical review of (the popularization of) this paper. As usual, there’s something real here but it’s way overhyped because everyone involved benefits from over-playing the role of deep learning here. [0:https://arxiv.org/abs/2112.04324] Edit: the critical review isn’t about the technical content of the paper per se, but rather the hyped news around it.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2112.04324/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
