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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
Content provided by LessWrong. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by LessWrong or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/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

592 episodes

Artwork
iconShare
 
Manage episode 501662228 series 3364758
Content provided by LessWrong. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by LessWrong or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/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

592 episodes

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