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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Human-Timescale Adaptation in an Open-Ended Task Space · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2301.07608/</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/2301.07608/feed.xml" rel="self" type="application/rss+xml" /><item><title>Human-Timescale Adaptation in an Open-Ended Task Space — mentioned by amf12</title><link>https://news.ycombinator.com/item?id=34754543</link><guid isPermaLink="false">urn:hackerpapers:mention:2301.07608:34754543</guid><pubDate>Sat, 11 Feb 2023 17:53:57 GMT</pubDate><description>&lt;p&gt;These are based on published research by Deepmind, which is an AI research lab. They don&amp;#x27;t build products to &amp;quot;demo&amp;quot; anything to the public. They research and publish peer-reviewed papers. The only thing they can &amp;quot;demo&amp;quot; is the simulation of the model, which they have published as videos on YouTube. Here&amp;#x27;s the paper if you&amp;#x27;re curious btw: https://arxiv.org/pdf/2301.07608.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2301.07608/"&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>Human-Timescale Adaptation in an Open-Ended Task Space — mentioned by margorczynski</title><link>https://news.ycombinator.com/item?id=34752748</link><guid isPermaLink="false">urn:hackerpapers:mention:2301.07608:34752748</guid><pubDate>Sat, 11 Feb 2023 14:50:05 GMT</pubDate><description>&lt;p&gt;It&amp;#x27;s behind a paywall, any way to go past it? Also would be great if there was an actual paper or more serious article about it. I see a lot of this type of articles recently and most of them are wrong/hype/etc. and the only valuable part are the links to the sources. EDIT: Found these with Google: https://arxiv.org/abs/2301.07608 https://www.youtube.com/watch?v=U93bUQ1roiw&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2301.07608/"&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>Human-Timescale Adaptation in an Open-Ended Task Space — mentioned by gardenfelder</title><link>https://news.ycombinator.com/item?id=34455690</link><guid isPermaLink="false">urn:hackerpapers:mention:2301.07608:34455690</guid><pubDate>Fri, 20 Jan 2023 16:43:08 GMT</pubDate><description>&lt;p&gt;paper: Human-Timescale Adaptation in an Open-Ended Task Space https://arxiv.org/abs/2301.07608 Edit: Reddit: https://www.reddit.com/r/MachineLearning/comments/10g281u/r_...&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2301.07608/"&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>
