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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1905.10985/</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/1905.10985/feed.xml" rel="self" type="application/rss+xml" /><item><title>AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence — mentioned by ghgr</title><link>https://news.ycombinator.com/item?id=26967099</link><guid isPermaLink="false">urn:hackerpapers:mention:1905.10985:26967099</guid><pubDate>Wed, 28 Apr 2021 08:34:43 GMT</pubDate><description>&lt;p&gt;Regarding this topic I came across the subject of Open-endedness [1] and the fascinating works of Jeff Clune, Ken Stanley and their colleagues (the two former are currently working at OpenAI). EDIT: I added this paper [2] by Jeff Clune, a nice introduction of Open-endedness and their potential for reaching general AI. [1] https://www.oreilly.com/radar/open-endedness-the-last-grand-... [2] https://arxiv.org/abs/1905.10985&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1905.10985/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence — HN submission</title><link>https://news.ycombinator.com/item?id=25621899</link><guid isPermaLink="false">urn:hackerpapers:submission:1905.10985:25621899</guid><pubDate>Sun, 03 Jan 2021 14:20:09 GMT</pubDate><description>&lt;p&gt;An alternate paradigm for producing general artificial intelligence&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/1905.10985/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence — mentioned by hsikka</title><link>https://news.ycombinator.com/item?id=23399517</link><guid isPermaLink="false">urn:hackerpapers:mention:1905.10985:23399517</guid><pubDate>Wed, 03 Jun 2020 03:58:10 GMT</pubDate><description>&lt;p&gt;That term is something I sort of came up with, but certainly there are some cool papers. https://arxiv.org/abs/1905.10985 Is one, talking about using ideas like neural architecture search to build better learning systems. A lot of the references in it are golden. I also wrote a set of notes formalizing what I see as the first step to building this infrastructure of intelligence. There’s some great references in there: https://osf.io/bv4qp/ I’d be happy to talk about this and get your thoughts, you can hit me up on my email: harshsikka123 @ Gmail.com I’m leading a research collaboration with…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1905.10985/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence — HN submission</title><link>https://news.ycombinator.com/item?id=20932392</link><guid isPermaLink="false">urn:hackerpapers:submission:1905.10985:20932392</guid><pubDate>Tue, 10 Sep 2019 19:22:38 GMT</pubDate><description>&lt;p&gt;AI-GAs: AI-generating algorithms, an alternate paradigm for producing general AI&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;6 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1905.10985/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item></channel></rss>
