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”) https://www.notion.com/cal https://www.mybodytutor.com Thanks to Jesse Miller for production and mastering, Nate Mechler for research and newsletter, and Ben Crain and Rob Montz for video editing. Learn more about your ad choices. Visit podcastchoices.com/adchoices