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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Forecasting Transformative AI: An Expert Survey · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1901.08579/</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/1901.08579/feed.xml" rel="self" type="application/rss+xml" /><item><title>Forecasting Transformative AI: An Expert Survey — mentioned by kelseyfrog</title><link>https://news.ycombinator.com/item?id=44927011</link><guid isPermaLink="false">urn:hackerpapers:mention:1901.08579:44927011</guid><pubDate>Sat, 16 Aug 2025 21:21:01 GMT</pubDate><description>&lt;p&gt;What are you talking about? This is common knowledge. Median forecasts indicated a 50% probability of AI systems being capable of automating 90% of current human tasks in 25 years and 99% of current human tasks in 50 years[1] The scope of work replaceable by embodied AGI and the speed of AGI saturation of vastly under estimated. The bottle necks are production of a replacement workforce, not retraining human laborers. 1. https://arxiv.org/pdf/1901.08579&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1901.08579/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CY</category></item></channel></rss>
