An Unlikely Team Tackles AI Brain Rot
How do we stop from becoming so reliant on LLMs that we lose our ability to think. A new paper explores answers based on an unlikely source: rigorous mathematical models. In this episode, Cal explains the paper and its conclusions, arguing that once you cut through its complexity it yields a useful way of thinking about our current AI moment.
Below are the questions covered in today's episode (with their timestamps). Get your questions answered by Cal! Here’s the link: https://bit.ly/3U3sTvo
Video from today’s episode: youtube.com/calnewportmedia
(0:00) An unlikely team tackles AI brain rot
(38:08) What are Cal’s thoughts on how Jesse Singal describes AI?
(56:29) A look at some vision documents
(1:00:42) Cal’s advice for a parenting situation
(1:03:16) What Cal is up to
October books:
Simplify (Jim VandeHei, Mike Allen, Roy Schwartz)
Links:
Buy Cal’s latest book, “Slow Productivity” at www.calnewport.com/slow
Get a signed copy of Cal’s “Slow Productivity” at https://peoplesbooktakoma.com/event/cal-newport/
https://arxiv.org/pdf/2609.03344
https://thedispatch.com/article/artificial-intelligence-hugging-face-security-death/
Thanks to our Sponsors:
https://www.factormeals.com/deep50off (Use code “DEEP50OFF”)
https://www.calderalab.com/deep (Use code “DEEP”)
Thanks to Jesse Miller for production and mastering, Nate Mechler for research and newsletter, and Ben Crain and Rob Montz for video editing.
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