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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Competition-Level Code Generation with AlphaCode · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2203.07814/</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/2203.07814/feed.xml" rel="self" type="application/rss+xml" /><item><title>Competition-Level Code Generation with AlphaCode — mentioned by YeGoblynQueenne</title><link>https://news.ycombinator.com/item?id=36565670</link><guid isPermaLink="false">urn:hackerpapers:mention:2203.07814:36565670</guid><pubDate>Sun, 02 Jul 2023 20:59:03 GMT</pubDate><description>&lt;p&gt;&amp;gt;&amp;gt; - Image descriptions eg. Be My Eyes: https://www.bemyeyes.com/ Not working yet. From the website: Starting today, you can register for the waitlist in the Be My Eyes app. &amp;gt;&amp;gt; - Customer service chat triage. More specifically? Which company is currently using LLMs for this purpose? &amp;gt;&amp;gt; - helping students learn- eg khan academy, tutor Lily Helping them learn, but what? Per wikipedia: Statements made in certain mathematics and physics videos have been questioned for their technical accuracy.[43] Sounds like using LLMs will just generate more garbage teaching material. &amp;gt;&amp;gt; - Helping create and…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2203.07814/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.PL</category></item><item><title>Competition-Level Code Generation with AlphaCode — mentioned by YeGoblynQueenne</title><link>https://news.ycombinator.com/item?id=34003771</link><guid isPermaLink="false">urn:hackerpapers:mention:2203.07814:34003771</guid><pubDate>Thu, 15 Dec 2022 18:44:02 GMT</pubDate><description>&lt;p&gt;Nature paper: https://www.science.org/doi/10.1126/science.abq1158 For those wondering, yes, these are the same results reported in the February 2022 pre-print here: https://arxiv.org/abs/2203.07814 As in the preprint the authors report their system&amp;#x27;s average ranking as top 54.3% in past competitions but the meat and potatoes of their results are in the reporting of test accuracy, which they don&amp;#x27;t advertise in the abstract- because it&amp;#x27;s not that good. From the body of the Nature article: &amp;gt;&amp;gt; With up to 100,000 samples per problem (10@100K), the AlphaCode 41B model solved 29.6% of problems in…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2203.07814/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.PL</category></item><item><title>Competition-Level Code Generation with AlphaCode — HN submission</title><link>https://news.ycombinator.com/item?id=33919303</link><guid isPermaLink="false">urn:hackerpapers:submission:2203.07814:33919303</guid><pubDate>Fri, 09 Dec 2022 09:16:04 GMT</pubDate><description>&lt;p&gt;Competition-Level Code Generation with AlphaCode&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/2203.07814/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.PL</category></item><item><title>Competition-Level Code Generation with AlphaCode — mentioned by sarosh</title><link>https://news.ycombinator.com/item?id=33914173</link><guid isPermaLink="false">urn:hackerpapers:mention:2203.07814:33914173</guid><pubDate>Thu, 08 Dec 2022 21:56:48 GMT</pubDate><description>&lt;p&gt;Heres the Arxiv link with the PDF since the Science link isn&amp;#x27;t working. https://arxiv.org/pdf/2203.07814v1.pdf *See p. 21 for a list of benchmarks, including the results of a finetuned GPT-3 for coding.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2203.07814/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.PL</category></item><item><title>Competition-Level Code Generation with AlphaCode — mentioned by curling_grad</title><link>https://news.ycombinator.com/item?id=30850108</link><guid isPermaLink="false">urn:hackerpapers:mention:2203.07814:30850108</guid><pubDate>Wed, 30 Mar 2022 00:24:34 GMT</pubDate><description>&lt;p&gt;Their paper has results from Codex. (see p. 21) https://arxiv.org/pdf/2203.07814v1.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2203.07814/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.PL</category></item></channel></rss>
