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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>On the Planning Abilities of Large Language Models : A Critical Investigation · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2305.15771/</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/2305.15771/feed.xml" rel="self" type="application/rss+xml" /><item><title>On the Planning Abilities of Large Language Models : A Critical Investigation — HN submission</title><link>https://news.ycombinator.com/item?id=39736862</link><guid isPermaLink="false">urn:hackerpapers:submission:2305.15771:39736862</guid><pubDate>Sun, 17 Mar 2024 18:45:17 GMT</pubDate><description>&lt;p&gt;The Planning Abilities of LLMs: A Critical Investigation (2023)&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/2305.15771/"&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>On the Planning Abilities of Large Language Models : A Critical Investigation — HN submission</title><link>https://news.ycombinator.com/item?id=38586493</link><guid isPermaLink="false">urn:hackerpapers:submission:2305.15771:38586493</guid><pubDate>Sat, 09 Dec 2023 21:57:24 GMT</pubDate><description>&lt;p&gt;On the Planning Abilities of Large Language Models: A Critical Investigation&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/2305.15771/"&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>On the Planning Abilities of Large Language Models : A Critical Investigation — mentioned by epups</title><link>https://news.ycombinator.com/item?id=37506729</link><guid isPermaLink="false">urn:hackerpapers:mention:2305.15771:37506729</guid><pubDate>Thu, 14 Sep 2023 09:29:56 GMT</pubDate><description>&lt;p&gt;The article itself is very assertive and makes a lot of generalizations, but if you look at the source of their claims [1] you see that in the first study they are using GPT-3.5 and achieve only a 5% score on a reasoning test that largely relies on spatial intuition - some boxes need to be stacked and unstacked sequentially in a convoluted task. Then, they get criticised so they come up with another paper in which they use GPT-4, which has an improved performance of 30% - a 6-fold increase, which the author describes as &amp;quot;modest&amp;quot;. They then decide to change the test to a much harder and more…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2305.15771/"&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>On the Planning Abilities of Large Language Models : A Critical Investigation — mentioned by Xeophon</title><link>https://news.ycombinator.com/item?id=36907930</link><guid isPermaLink="false">urn:hackerpapers:mention:2305.15771:36907930</guid><pubDate>Fri, 28 Jul 2023 15:10:19 GMT</pubDate><description>&lt;p&gt;Related work is the planning paper by Valmeekan et al [1]. The gist is that LLMs are incapable of planning, which is due to their autoregressive nature. METAs Head of AI Yann Lecun also talks about this topic in a talk [2]. As RT2 is based on a similar architecture, I think the results will be similar. [1] https://arxiv.org/abs/2305.15771 [2] https://youtu.be/x10964w00zk&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2305.15771/"&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>On the Planning Abilities of Large Language Models : A Critical Investigation — HN submission</title><link>https://news.ycombinator.com/item?id=36513194</link><guid isPermaLink="false">urn:hackerpapers:submission:2305.15771:36513194</guid><pubDate>Wed, 28 Jun 2023 21:57:00 GMT</pubDate><description>&lt;p&gt;On the Planning Abilities of Large Language Models – A Critical Investigation&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;3 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2305.15771/"&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>On the Planning Abilities of Large Language Models : A Critical Investigation — HN submission</title><link>https://news.ycombinator.com/item?id=36105713</link><guid isPermaLink="false">urn:hackerpapers:submission:2305.15771:36105713</guid><pubDate>Sun, 28 May 2023 16:51:29 GMT</pubDate><description>&lt;p&gt;On the Planning Abilities of Large Language Models – A Critical Investigation&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/2305.15771/"&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>
