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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Thousands of AI Authors on the Future of AI · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2401.02843/</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/2401.02843/feed.xml" rel="self" type="application/rss+xml" /><item><title>Thousands of AI Authors on the Future of AI — HN submission</title><link>https://news.ycombinator.com/item?id=49953734</link><guid isPermaLink="false">urn:hackerpapers:submission:2401.02843:49953734</guid><pubDate>Sun, 04 Oct 2026 13:25:08 GMT</pubDate><description>&lt;p&gt;Ask HN: If you&amp;#x27;re struggling with p(doom), how are you handling it?&lt;/p&gt;&lt;p&gt;I&amp;#x27;m a VP of product at a small marketplace and a former full-stack dev. I use AI agents every day, connected to all sorts of tools, and I let them run on big projects. Ever since around the time of Jacob Coxon&amp;#x27;s post, I can&amp;#x27;t shake the logic that these capabilities will keep growing, proliferate, find their way into the wrong hands, and plausibly lead to mass casualties, or even the optimization of humans out of existence. Whatever you make of Coxon [1], the Hugging Face incident [2], or the frontier labs’ motivations, the argument is what sticks with me. My p(doom) isn&amp;#x27;t 100%, but it&amp;#x27;s high…&lt;/p&gt;&lt;p&gt;3 points; 9 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2401.02843/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CY</category></item><item><title>Thousands of AI Authors on the Future of AI — mentioned by godelski</title><link>https://news.ycombinator.com/item?id=44772771</link><guid isPermaLink="false">urn:hackerpapers:mention:2401.02843:44772771</guid><pubDate>Sat, 02 Aug 2025 23:50:51 GMT</pubDate><description>&lt;p&gt;&amp;gt; The thing is, AI researchers have continually underestimated the pace of AI progress What&amp;#x27;s your argument? That because experts aren&amp;#x27;t good at making predictions that non-experts must be BETTER at making predictions? Let me ask you this: who do you think is going to make a less accurate prediction? Assuming no one is accurate here, everybody is wrong. So the question is who is more or less accurate. Because there is a thing as &amp;quot;more accurate&amp;quot; right? &amp;gt;&amp;gt; In 2022, they thought AI wouldn’t be able to write simple Python code until around 2027. Go look at the referenced paper[0]. It is on page…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2401.02843/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CY</category></item><item><title>Thousands of AI Authors on the Future of AI — HN submission</title><link>https://news.ycombinator.com/item?id=38918366</link><guid isPermaLink="false">urn:hackerpapers:submission:2401.02843:38918366</guid><pubDate>Mon, 08 Jan 2024 21:23:59 GMT</pubDate><description>&lt;p&gt;Thousands of AI Authors on the Future of AI&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;85 points; 112 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2401.02843/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CY</category></item></channel></rss>
