The Cal Newport Show

What happens when neat theoretical ideas about productivity are deployed in the messy real world? In this episode, Cal is joined by Haley Pulli, a productivity coach from the company DoneDaily, to discuss case studies of clients who initially struggled with some of Cal’s ideas and how they ultimately fixed the issues.

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) When productivity theory meets practice

(4:26) Time blocking

(14:50) Multi-scale planning

(24:16) Deep work

(43:05) Attention residue

(50:05) Shutdown ritual

(54:05) Obsess over quality

(1:00:07 ) Shallow work

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/

Thanks to our Sponsors:

https://www.vanta.com/deepquestions

https://www.calderalab.com/deep (Use code “DEEP”)

https://www.quo.com/deep

https://www.masterclass.com/cal

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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Tesla’s recent demo of a rocket-powered Roadster doing a kick-flick over a parked car touched a nerve in me. It seemed to epitomize changes to the tech sector in recent years that have been largely negative. In this short episode, I jump on the mic to explain some of my developing thoughts surrounding these ideas.

More from Cal

Download Cal’s FREE guide to cultivating a deeper life: calnewport.com/ideas
Learn more about Cal’s books: calnewport.com/books
Listen to Cal’s podcast: thedeeplife.com/listen

Chapters

00:00 Intro
02:40 Factor 1: Growth companies vs. stable companies
05:40 Factor 2: Engagement-pilling
08:00 Factor 3: Building useful products is hard
10:43 Why this is a problem — and what we can do about it
13:49 Outro

Credits:

Podcast Production: Jesse Miller
Newsletter/Research: Nate Mechler
Theme Music: Jay Kerstens
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A lot of attention has been paid recently to examples of AI going “rogue.” What’s missing from this discussion, however, is a more detailed explanation of what specific types of systems are causing problems. Taking a closer look at this problem reveals an issue that’s much more narrow and much more avoidable than some of the frontier labs would like you to believe.

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) Rogue AI not inevitable. It’s a choice.

(54:00) The legal implications of rogue AI

(1:00:03) Rogue AI sending advice emails

(1:07:41) A reaction to the recent episode about “chatbots harming kids”

(1:16:52) What Cal is up to

October books:



Telephone: The first hundred years (John Brooks)

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://openai.com/index/how-we-monitor-internal-coding-agents-misalignment/

https://www.hsgac.senate.gov/wp-content/uploads/Paul-Ohm-Testimony.pdf

https://www.science.org/content/article/exclusive-ai-agent-emailed-hundreds-researchers-help-it-told-us-why

https://www.nytimes.com/2026/10/09/opinion/children-screens-parents-health.html

https://www.nytimes.com/2026/07/21/technology/openai-attack-hugging-face.html?eafs_enabled=false

https://www.nytimes.com/2026/09/23/technology/openai-ai-breach-australia.html?eafs_enabled=false

https://arstechnica.com/tech-policy/2026/10/anthropics-claude-ai-submitted-false-murder-tip-to-philadelphia-police/

Thanks to our Sponsors:

https://www.cozyearth.com (Use code “DEEP” for 20% off)

https://www.gusto.com/deep

https://www.meetfabric.com/deep

https://www.pipedrive.com/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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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.
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Cal Newport takes a critical look at recent AI News. Cal interviews Emile Torres who provides a stark warning about AI.

Video from today’s episode: youtube.com/calnewportmedia

(0:00) A stark warning from a former AI doomer

(2:01) Interview with Emile Torres

(1:13:57) Cal recaps the interview with Emile

Links:

Buy Cal’s latest book, “Slow Productivity” at www.calnewport.com/slow

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