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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2501.15654/</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/2501.15654/feed.xml" rel="self" type="application/rss+xml" /><item><title>People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text — mentioned by neom</title><link>https://news.ycombinator.com/item?id=49393651</link><guid isPermaLink="false">urn:hackerpapers:mention:2501.15654:49393651</guid><pubDate>Fri, 21 Aug 2026 20:52:40 GMT</pubDate><description>&lt;p&gt;Most people do not realize when a personal message they receive was written by AI, study finds - https://theconversation.com/most-people-do-not-realize-when-... People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text - https://arxiv.org/pdf/2501.15654&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2501.15654/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text — mentioned by Seattle3503</title><link>https://news.ycombinator.com/item?id=49201754</link><guid isPermaLink="false">urn:hackerpapers:mention:2501.15654:49201754</guid><pubDate>Thu, 06 Aug 2026 20:09:39 GMT</pubDate><description>&lt;p&gt;Do you have evidence Pangram is unreliable? There are independent evaluations [1, 2] showing it works, and it&amp;#x27;s getting used more and more scientific papers. Have you used it or evaluated it yourself? What do you think these other evaluators are doing or getting wrong? 1: https://bfi.uchicago.edu/insights/artificial-writing-and-aut... 2: https://arxiv.org/pdf/2501.15654&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2501.15654/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text — mentioned by chis</title><link>https://news.ycombinator.com/item?id=49171756</link><guid isPermaLink="false">urn:hackerpapers:mention:2501.15654:49171756</guid><pubDate>Tue, 04 Aug 2026 17:07:40 GMT</pubDate><description>&lt;p&gt;This has been pretty well studied. Pangram is about as good at an expert human with a 98% detection rate and &amp;lt;2% false positive, for flagging AI generated text. https://arxiv.org/pdf/2501.15654&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2501.15654/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text — mentioned by Chu4eeno</title><link>https://news.ycombinator.com/item?id=48890826</link><guid isPermaLink="false">urn:hackerpapers:mention:2501.15654:48890826</guid><pubDate>Mon, 13 Jul 2026 11:02:44 GMT</pubDate><description>&lt;p&gt;On the humans (vs. pangram) ability to reliably spot LLM generated content, there was an independent study: https://arxiv.org/html/2501.15654v1&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2501.15654/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text — mentioned by Chu4eeno</title><link>https://news.ycombinator.com/item?id=48733855</link><guid isPermaLink="false">urn:hackerpapers:mention:2501.15654:48733855</guid><pubDate>Tue, 30 Jun 2026 15:12:14 GMT</pubDate><description>&lt;p&gt;It has extremely low false positive rate in various tests (e. g. https://arxiv.org/html/2501.15654v1), I&amp;#x27;ve never seen it mark something I knew was human written as AI.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2501.15654/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text — mentioned by Chu4eeno</title><link>https://news.ycombinator.com/item?id=48704287</link><guid isPermaLink="false">urn:hackerpapers:mention:2501.15654:48704287</guid><pubDate>Sun, 28 Jun 2026 04:16:38 GMT</pubDate><description>&lt;p&gt;It&amp;#x27;s also confirmed in third-party studies like this https://arxiv.org/html/2501.15654v1 (which also confirms that humans that have experience with LLMs are very good at spotting them).&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2501.15654/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text — mentioned by embedding-shape</title><link>https://news.ycombinator.com/item?id=48292551</link><guid isPermaLink="false">urn:hackerpapers:mention:2501.15654:48292551</guid><pubDate>Wed, 27 May 2026 11:25:01 GMT</pubDate><description>&lt;p&gt;Humans writing more like LLMs, just like new LLMs write more like humans, it&amp;#x27;s all coalescing into one. I&amp;#x27;ve copied-pasted comments I made on HN from like 2020 and had it tell me it&amp;#x27;s &amp;quot;100% AI&amp;quot;. I&amp;#x27;ve seen examples where the services claim &amp;quot;100% AI&amp;quot; because there was no normal dashes, only em-dashes. Even have a recent example from HN itself: https://news.ycombinator.com/item?id=48165690 &amp;gt; This reads very AI. Pangram [0] agrees [1]. [0] Not perfect, but I think as good evidence as any: https://arxiv.org/pdf/2501.15654 [1] https://www.pangram.com/history/44cd07d3-ba94-4331-8c7f-a626... Said…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2501.15654/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text — HN submission</title><link>https://news.ycombinator.com/item?id=48188566</link><guid isPermaLink="false">urn:hackerpapers:submission:2501.15654:48188566</guid><pubDate>Tue, 19 May 2026 02:36:34 GMT</pubDate><description>&lt;p&gt;People who use ChatGPT for writing are accurate detectors of AI text (2025)&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/2501.15654/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text — mentioned by Groxx</title><link>https://news.ycombinator.com/item?id=48174950</link><guid isPermaLink="false">urn:hackerpapers:mention:2501.15654:48174950</guid><pubDate>Mon, 18 May 2026 02:11:59 GMT</pubDate><description>&lt;p&gt;Rather obviously they&amp;#x27;re choosing the one that makes them look best. Another they link to¹ shows 98% for example. Much more importantly, 9/10 dentists agree it&amp;#x27;s the best. 1: https://arxiv.org/pdf/2501.15654, linked from² https://www.pangram.com/blog/third-party-pangram-evals (the second section) 2: the third study they link there is based entirely around the assumption that Pangram is correct, and seems to have been a collaboration or something as they&amp;#x27;re included in the credits area.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2501.15654/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text — mentioned by kaonwarb</title><link>https://news.ycombinator.com/item?id=48165690</link><guid isPermaLink="false">urn:hackerpapers:mention:2501.15654:48165690</guid><pubDate>Sun, 17 May 2026 02:56:05 GMT</pubDate><description>&lt;p&gt;This reads very AI. Pangram [0] agrees [1]. [0] Not perfect, but I think as good evidence as any: https://arxiv.org/pdf/2501.15654 [1] https://www.pangram.com/history/44cd07d3-ba94-4331-8c7f-a626...&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2501.15654/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text — HN submission</title><link>https://news.ycombinator.com/item?id=47678270</link><guid isPermaLink="false">urn:hackerpapers:submission:2501.15654:47678270</guid><pubDate>Tue, 07 Apr 2026 17:01:18 GMT</pubDate><description>&lt;p&gt;Frequent ChatGPT users are accurate detectors of AI-generated text (2025)&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;11 points; 2 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2501.15654/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text — mentioned by nothinkjustai</title><link>https://news.ycombinator.com/item?id=47678170</link><guid isPermaLink="false">urn:hackerpapers:mention:2501.15654:47678170</guid><pubDate>Tue, 07 Apr 2026 16:52:54 GMT</pubDate><description>&lt;p&gt;There is research showing the contrary that is far more convincing: &amp;gt; Our experiments show that annotators who frequently use LLMs for writing tasks excel at detecting AI-generated text, even without any specialized training or feedback. In fact, the majority vote among five such “expert” annotators misclassifies only 1 of 300 articles, significantly outperforming most commercial and open-source detectors we evaluated even in the presence of evasion tactics like paraphrasing and humanization. https://arxiv.org/html/2501.15654v2&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2501.15654/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text — mentioned by spindump8930</title><link>https://news.ycombinator.com/item?id=47660544</link><guid isPermaLink="false">urn:hackerpapers:mention:2501.15654:47660544</guid><pubDate>Mon, 06 Apr 2026 13:20:01 GMT</pubDate><description>&lt;p&gt;Pangram has time after time been shown as the only detector that mostly works. And that paper is pretty old now! There are recent papers from academics independently bench-marking and studying detectors e.g. https://arxiv.org/abs/2501.15654&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2501.15654/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text — mentioned by samdoesnothing</title><link>https://news.ycombinator.com/item?id=46268276</link><guid isPermaLink="false">urn:hackerpapers:mention:2501.15654:46268276</guid><pubDate>Sun, 14 Dec 2025 23:28:37 GMT</pubDate><description>&lt;p&gt;I don&amp;#x27;t think people should be obligated to spend time and effort justifying their reasoning on this. Firstly it&amp;#x27;s highly asymmetrical; you can generate AI content with little effort, whereas composing a detailed analysis requires a lot more work. It&amp;#x27;s also not easily articulatable. However there is evidence that writers who have experience using LLMs are highly accurate at detecting AI generated text. &amp;gt; Our experiments show that annotators who frequently use LLMs for writing tasks excel at detecting AI-generated text, even without any specialized training or feedback. In fact, the majority…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2501.15654/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text — mentioned by Jweb_Guru</title><link>https://news.ycombinator.com/item?id=45872482</link><guid isPermaLink="false">urn:hackerpapers:mention:2501.15654:45872482</guid><pubDate>Mon, 10 Nov 2025 04:38:14 GMT</pubDate><description>&lt;p&gt;Human experts can reliably detect some kinds of long-form, AI-generated text using exactly the same sorts of cues I&amp;#x27;ve outlined: https://arxiv.org/html/2501.15654v1. You may take issue with the quality of the paper, but there have been very few studies like this and this one found an extremely strong effect. I am making an even more limited claim than the article, which is only that it&amp;#x27;s possible for &amp;quot;experts&amp;quot; (i.e. people who frequently interact with LLMs as part of their day jobs) to identify AI generated text in long-form passages in a way that has very few false positives, not classify it…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2501.15654/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text — HN submission</title><link>https://news.ycombinator.com/item?id=44619211</link><guid isPermaLink="false">urn:hackerpapers:submission:2501.15654:44619211</guid><pubDate>Sat, 19 Jul 2025 20:44:50 GMT</pubDate><description>&lt;p&gt;Frequent users of ChatGPT are robust detectors of AI text&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 2 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2501.15654/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text — HN submission</title><link>https://news.ycombinator.com/item?id=44598695</link><guid isPermaLink="false">urn:hackerpapers:submission:2501.15654:44598695</guid><pubDate>Thu, 17 Jul 2025 21:58:45 GMT</pubDate><description>&lt;p&gt;People who frequently use ChatGPT for writing tasks can detect AI-generated text&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;12 points; 7 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2501.15654/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text — HN submission</title><link>https://news.ycombinator.com/item?id=44065625</link><guid isPermaLink="false">urn:hackerpapers:submission:2501.15654:44065625</guid><pubDate>Thu, 22 May 2025 19:12:09 GMT</pubDate><description>&lt;p&gt;People who use ChatGPT for writing are accurate detectors of AI-generated text&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/2501.15654/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text — HN submission</title><link>https://news.ycombinator.com/item?id=42866721</link><guid isPermaLink="false">urn:hackerpapers:submission:2501.15654:42866721</guid><pubDate>Wed, 29 Jan 2025 16:08:29 GMT</pubDate><description>&lt;p&gt;People who use ChatGPT for writing are robust detectors of AI-generated text&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/2501.15654/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
