An Unlikely Team Tackles AI Brain Rot

About this episode

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: h