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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2303.10130/</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/2303.10130/feed.xml" rel="self" type="application/rss+xml" /><item><title>GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models — HN submission</title><link>https://news.ycombinator.com/item?id=47400835</link><guid isPermaLink="false">urn:hackerpapers:submission:2303.10130:47400835</guid><pubDate>Mon, 16 Mar 2026 16:05:22 GMT</pubDate><description>&lt;p&gt;An early look at the labor market impact potential of LLMs (2023)&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/2303.10130/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>econ.GN</category></item><item><title>GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models — mentioned by sciencegeek123</title><link>https://news.ycombinator.com/item?id=46065947</link><guid isPermaLink="false">urn:hackerpapers:mention:2303.10130:46065947</guid><pubDate>Thu, 27 Nov 2025 05:19:31 GMT</pubDate><description>&lt;p&gt;Yes, agree. There should be range. Similar precision appears in other exposure studies also. E.g. This one was trending from OpenAI and Wharton a short while back: arxiv.org/pdf/2303.10130&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2303.10130/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>econ.GN</category></item><item><title>GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models — mentioned by orochimaaru</title><link>https://news.ycombinator.com/item?id=44073162</link><guid isPermaLink="false">urn:hackerpapers:mention:2303.10130:44073162</guid><pubDate>Fri, 23 May 2025 14:20:47 GMT</pubDate><description>&lt;p&gt;That is what open ai’s non-profit economic research arm has claimed. LLMs will fundamentally change how we interact with the world like the Internet did. It will take time like the Internet and a couple of hype cycle pops but it will change the way we do things. It will help a single human do more in a white collar world. https://arxiv.org/abs/2303.10130&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2303.10130/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>econ.GN</category></item><item><title>GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models — mentioned by anarticle</title><link>https://news.ycombinator.com/item?id=41892470</link><guid isPermaLink="false">urn:hackerpapers:mention:2303.10130:41892470</guid><pubDate>Sun, 20 Oct 2024 02:33:34 GMT</pubDate><description>&lt;p&gt;Penn and OpenAI claimed: &amp;quot;Our findings reveal that around 80% of the U.S. workforce could have at least 10% of their work tasks affected by the introduction of LLMs, while approximately 19% of workers may see at least 50% of their tasks impacted.&amp;quot; https://arxiv.org/abs/2303.10130&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2303.10130/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>econ.GN</category></item><item><title>GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models — mentioned by blueboo</title><link>https://news.ycombinator.com/item?id=39726709</link><guid isPermaLink="false">urn:hackerpapers:mention:2303.10130:39726709</guid><pubDate>Sat, 16 Mar 2024 15:23:20 GMT</pubDate><description>&lt;p&gt;See Appendix D in https://arxiv.org/pdf/2303.10130.pdf OpenAI’s “GPTs are GPTs: An early look at the labor market impact potential of large language models” It’s not just construction workers. Still safe to be a pro athlete and a short order cook, too!&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2303.10130/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>econ.GN</category></item><item><title>GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models — mentioned by famouswaffles</title><link>https://news.ycombinator.com/item?id=38114201</link><guid isPermaLink="false">urn:hackerpapers:mention:2303.10130:38114201</guid><pubDate>Thu, 02 Nov 2023 14:46:13 GMT</pubDate><description>&lt;p&gt;1. &amp;quot;I think GPT-3 is artificial general intelligence, AGI. I think GPT-3 is as intelligent as a human. And I think that it is probably more intelligent than a human in a restricted way… in many ways it is more purely intelligent than humans are. I think humans are approximating what GPT-3 is doing, not vice versa.” — Connor Leahy, co-founder of EleutherAI, creator of GPT-J (November 2020) https://www.youtube.com/watch?v=HrV19SjKUss&amp;amp;t=175s 2. https://www.noemamag.com/artificial-general-intelligence-is-... 3. Sparks of Artificial General Intelligence: Early experiments with GPT-4.…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2303.10130/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>econ.GN</category></item><item><title>GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models — mentioned by famouswaffles</title><link>https://news.ycombinator.com/item?id=36498164</link><guid isPermaLink="false">urn:hackerpapers:mention:2303.10130:36498164</guid><pubDate>Tue, 27 Jun 2023 20:23:35 GMT</pubDate><description>&lt;p&gt;Yes you&amp;#x27;ll find that any testable definition of AGI that has not been passed yet would be unpassable for a big chunk of the human population. In other words, General, Artificial and Intelligent have been passed. That&amp;#x27;s why a few papers/researchers opt to call these models &amp;quot;General Artificial Intelligence&amp;quot; instead https://jamanetwork.com/journals/jama/article-abstract/28064... https://arxiv.org/abs/2303.12003 Or some such variant like &amp;quot;General Purpose Technologies&amp;quot; as Open AI did. https://arxiv.org/abs/2303.10130 since &amp;quot;AGI&amp;quot; has so much baggage with posts shifting at the speed of light.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2303.10130/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>econ.GN</category></item><item><title>GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models — mentioned by lhl</title><link>https://news.ycombinator.com/item?id=35526691</link><guid isPermaLink="false">urn:hackerpapers:mention:2303.10130:35526691</guid><pubDate>Tue, 11 Apr 2023 15:40:10 GMT</pubDate><description>&lt;p&gt;You don&amp;#x27;t need to just take one source. OpenAI authored their own paper [1] on the economic impacts of just LLMs: &amp;quot;Our findings reveal that around 80% of the U.S. workforce could have at least 10% of their work tasks affected by the introduction of LLMs, while approximately 19% of workers may see at least 50% of their tasks impacted.&amp;quot; Goldman Sachs Research just pushlished their own analysis as well. [2] Their conclusions are &amp;quot;As tools using advances in natural language processing work their way into businesses and society, they could drive a 7% (or almost $7 trillion) increase in global GDP…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2303.10130/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>econ.GN</category></item><item><title>GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models — mentioned by wolpoli</title><link>https://news.ycombinator.com/item?id=35351847</link><guid isPermaLink="false">urn:hackerpapers:mention:2303.10130:35351847</guid><pubDate>Wed, 29 Mar 2023 03:14:16 GMT</pubDate><description>&lt;p&gt;A human will unfortunately need do it, because Agricultural Equipment Operators have no exposed tasks to LLMs [0]. We&amp;#x27;ll need other AI advancements. [0]: https://arxiv.org/pdf/2303.10130v4.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2303.10130/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>econ.GN</category></item><item><title>GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models — mentioned by achow</title><link>https://news.ycombinator.com/item?id=35351619</link><guid isPermaLink="false">urn:hackerpapers:mention:2303.10130:35351619</guid><pubDate>Wed, 29 Mar 2023 02:45:17 GMT</pubDate><description>&lt;p&gt;GPTs are GPTs: An Early Look at the Labor Market Impact - Potential of Large Language Models Tyna Eloundou1, Sam Manning, Pamela Mishkin, and Daniel Rock OpenAI, OpenResearch, University of Pennsylvania March 27, 2023 https://arxiv.org/pdf/2303.10130.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2303.10130/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>econ.GN</category></item><item><title>GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models — mentioned by dmix</title><link>https://news.ycombinator.com/item?id=35246243</link><guid isPermaLink="false">urn:hackerpapers:mention:2303.10130:35246243</guid><pubDate>Tue, 21 Mar 2023 14:03:21 GMT</pubDate><description>&lt;p&gt;The study didn&amp;#x27;t say they will all simply lose their job? Did you just read the headline and assume &amp;quot;80% of jobs will be impacted by GPT&amp;quot; means they lose their jobs? Impacted doesn&amp;#x27;t mean completely automate either, it can just be assisting, improving efficiency, better quality, etc. Of the 80% impacted they said GPT can help with only 10% of their work activities on average. So unless the other 90% of their job was doing nothing and GPT isn&amp;#x27;t automating the 10% I don&amp;#x27;t think they&amp;#x27;ll have to worry too much. https://arxiv.org/pdf/2303.10130.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2303.10130/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>econ.GN</category></item><item><title>GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models — mentioned by brutusurp</title><link>https://news.ycombinator.com/item?id=35236701</link><guid isPermaLink="false">urn:hackerpapers:mention:2303.10130:35236701</guid><pubDate>Mon, 20 Mar 2023 18:53:52 GMT</pubDate><description>&lt;p&gt;Hmm... Perhaps &amp;quot;high income workers&amp;quot; take serious this paper: &amp;quot;OpenAI publishes paper on the economic impact of GPT-4: Higher income workers most exposed&amp;quot; https://www.reddit.com/r/Futurology/comments/11whznb/openai_... https://arxiv.org/abs/2303.10130&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2303.10130/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>econ.GN</category></item><item><title>GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models — HN submission</title><link>https://news.ycombinator.com/item?id=35226364</link><guid isPermaLink="false">urn:hackerpapers:submission:2303.10130:35226364</guid><pubDate>Mon, 20 Mar 2023 02:04:37 GMT</pubDate><description>&lt;p&gt;GPTs Are GPTs: An Early Look at the Labor Market Impact Potential of LLMs&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;190 points; 230 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2303.10130/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>econ.GN</category></item></channel></rss>
