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:&nbsp; 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&nbsp;
Get a signed copy of Cal’s “Slow Productivity” at <a href="https://peoplesbooktakoma.com/event/cal-newport/">https://peoplesbooktakoma.com/event/cal-newport/</a>
<a href="https://arxiv.org/pdf/2609.03344">https://arxiv.org/pdf/2609.03344</a>
<a href="https://thedispatch.com/article/artificial-intelligence-hugging-face-security-death/">https://thedispatch.com/article/artificial-intelligence-hugging-face-security-death/</a>

Thanks to our Sponsors:&nbsp;

<a href="https://www.factormeals.com/deep50off">https://www.factormeals.com/deep50off</a> (Use code “DEEP50OFF”)
<a href="https://www.calderalab.com/deep">https://www.calderalab.com/deep</a> (Use code “DEEP”)
<a href="https://www.notion.com/cal">https://www.notion.com/cal</a>
<a href="https://www.mybodytutor.com">https://www.mybodytutor.com</a>

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 <a href="https://podcastchoices.com/adchoices">podcastchoices.com/adchoices</a>

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