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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Online Machine Learning Techniques for Coq: A Comparison · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2104.05207/</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/2104.05207/feed.xml" rel="self" type="application/rss+xml" /><item><title>Online Machine Learning Techniques for Coq: A Comparison — mentioned by kerakaali</title><link>https://news.ycombinator.com/item?id=31717439</link><guid isPermaLink="false">urn:hackerpapers:mention:2104.05207:31717439</guid><pubDate>Sun, 12 Jun 2022 19:25:41 GMT</pubDate><description>&lt;p&gt;&amp;gt; I asked GPT3 to teach me about addition and subtraction and it produced pure garbage in very lecturing tone. Sorry for laughing, but that&amp;#x27;s a rather funny thought to be given incorrect maths lesson via AI à la college professor. The field of AI-applied to mathematics is already somewhat developed actually! At the moment it&amp;#x27;s primarily done through proof assistants such as Coq[1], but there is work done to go further and apply ML to the field [2][3]. If you have any interest in the field, I would highly recommend you to take a dive and even play around with proving some simple theorems using…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2104.05207/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LO</category></item></channel></rss>
