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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Language Models can Solve Computer Tasks · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2303.17491/</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/2303.17491/feed.xml" rel="self" type="application/rss+xml" /><item><title>Language Models can Solve Computer Tasks — mentioned by bob1029</title><link>https://news.ycombinator.com/item?id=35392359</link><guid isPermaLink="false">urn:hackerpapers:mention:2303.17491:35392359</guid><pubDate>Fri, 31 Mar 2023 19:39:33 GMT</pubDate><description>&lt;p&gt;The problem with this kind of writing is that the AI space is moving so quickly that some of these criticisms were literally addressed yesterday. https://arxiv.org/abs/2303.17491 &amp;gt; In this work, we show that a pre-trained large language model (LLM) agent can execute computer tasks guided by natural language using a simple prompting scheme where the agent recursively criticizes and improves its output (RCI). I also agree with the GPT3.5 vs 4 comparison made by other comments here. Arithmetic and other emergent phenomena only begin to take off beyond certain parameter counts. Stuff as basic as…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2303.17491/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
