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LessWrong에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 LessWrong 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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“Four ways Econ makes people dumber re: future AI” by Steven Byrnes

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Manage episode 501662228 series 3364758
LessWrong에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 LessWrong 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
(Cross-posted from X, intended for a general audience.)
There's a funny thing where economics education paradoxically makes people DUMBER at thinking about future AI. Econ textbooks teach concepts & frames that are great for most things, but counterproductive for thinking about AGI. Here are 4 examples. Longpost:
THE FIRST PIECE of Econ anti-pedagogy is hiding in the words “labor” & “capital”. These words conflate a superficial difference (flesh-and-blood human vs not) with a bundle of unspoken assumptions and intuitions, which will all get broken by Artificial General Intelligence (AGI).
By “AGI” I mean here “a bundle of chips, algorithms, electricity, and/or teleoperated robots that can autonomously do the kinds of stuff that ambitious human adults can do—founding and running new companies, R&D, learning new skills, using arbitrary teleoperated robots after very little practice, etc.”
Yes I know, this does not exist yet! (Despite hype to the contrary.) Try asking [...]
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Outline:
(08:50) Tweet 2
(09:19) Tweet 3
(10:16) Tweet 4
(11:15) Tweet 5
(11:31) 1.3.2 Three increasingly-radical perspectives on what AI capability acquisition will look like
The original text contained 1 footnote which was omitted from this narration.
---
First published:
August 21st, 2025
Source:
https://www.lesswrong.com/posts/xJWBofhLQjf3KmRgg/four-ways-econ-makes-people-dumber-re-future-ai
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Narrated by TYPE III AUDIO.
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Images from the article:
Text excerpt discussing AI impact analysis, comparing Eloundou and Svanberg studies, calculating 4.6% GDP task impact.
Text excerpt about IQ-wages gradient and machine intelligence models, highlighted section.
Steven Byrnes tweets:
  continue reading

613 에피소드

Artwork
icon공유
 
Manage episode 501662228 series 3364758
LessWrong에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 LessWrong 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
(Cross-posted from X, intended for a general audience.)
There's a funny thing where economics education paradoxically makes people DUMBER at thinking about future AI. Econ textbooks teach concepts & frames that are great for most things, but counterproductive for thinking about AGI. Here are 4 examples. Longpost:
THE FIRST PIECE of Econ anti-pedagogy is hiding in the words “labor” & “capital”. These words conflate a superficial difference (flesh-and-blood human vs not) with a bundle of unspoken assumptions and intuitions, which will all get broken by Artificial General Intelligence (AGI).
By “AGI” I mean here “a bundle of chips, algorithms, electricity, and/or teleoperated robots that can autonomously do the kinds of stuff that ambitious human adults can do—founding and running new companies, R&D, learning new skills, using arbitrary teleoperated robots after very little practice, etc.”
Yes I know, this does not exist yet! (Despite hype to the contrary.) Try asking [...]
---
Outline:
(08:50) Tweet 2
(09:19) Tweet 3
(10:16) Tweet 4
(11:15) Tweet 5
(11:31) 1.3.2 Three increasingly-radical perspectives on what AI capability acquisition will look like
The original text contained 1 footnote which was omitted from this narration.
---
First published:
August 21st, 2025
Source:
https://www.lesswrong.com/posts/xJWBofhLQjf3KmRgg/four-ways-econ-makes-people-dumber-re-future-ai
---
Narrated by TYPE III AUDIO.
---
Images from the article:
Text excerpt discussing AI impact analysis, comparing Eloundou and Svanberg studies, calculating 4.6% GDP task impact.
Text excerpt about IQ-wages gradient and machine intelligence models, highlighted section.
Steven Byrnes tweets:
  continue reading

613 에피소드

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