Deep Questions with Cal Newport

Cal Newport is a computer science professor and a New York Times bestselling author who writes about the impact of technology on society, and the struggle to work and live deeply in a world increasingly mired in digital distractions. On this podcast, he answers questions from his readers and offers advice about cultivating focus, productivity, and meaning amidst the noise that pervades our lives.

How to Build a Cognitive Training Plan | Monday Advice

Aug 2026 · 8 books

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How to Become a Straight-A Student

Cal Newport

which is a formula that actually shows up in my my much older book how to become a straight a student ▶ tap to play from here

Deep Work

Cal Newport

the fans of my book deep work will un will recognize this as the activity of productive meditation ▶ tap to play from here

Silent Spring

Rachel Carson

federal conservation policies including the ban of ddt in nineteen seventy two ▶ tap to play from here

Pardon Our French: The Parisian Way to a Happier Life

Alex Durand and Tom Carls

their new book pardon our french the parisian way to a happier life which comes out on september eighth ▶ tap to play from here

The Laws of Thought

Tom Griffiths

i finished tom griffith's book the laws of thought ▶ tap to play from here

This Is for Everyone: A Memoir

Tim Berners-Lee

i read tim berners lee's memoir this is for everyone ▶ tap to play from here

Into the Deep

Bob Ballard and Christopher Drew

bob ballard who he co authored with christopher drew ▶ tap to play from here

Blind Man's Bluff

Sherry Sontag and Christopher Drew

christopher drew who's a sort of nautical science writer new york times writer he wrote blind man's buff which is a good book about submarine espionage ▶ tap to play from here

Classic Episode: How Do I Kick My Scrolling Habit? | Monday Advice

Aug 2026

0:00 / 57:45

How Do I Finish Meaningful Projects? | Monday Advice

Aug 2026

0:00 / 64:53

Does OpenAI’s Astra Mean AGI Has Arrived? | AI Reality Check

Aug 2026

0:00 / 29:30

Classic Episode: How Do I Learn Hard Things? | Monday Advice

Aug 2026

0:00 / 75:43

Did OpenAI’s Model “Go Rogue”? | AI Reality Check

Jul 2026

0:00 / 33:40

Why Do Digital Detoxes Fail? What Works Better? | Monday Advice

Jul 2026

0:00 / 70:41

Am I Optimizing Too Much? | Monday Advice

Jul 2026

0:00 / 78:30

Does Claude Have Private Thoughts? (Everyone Settle Down) | AI Reality Check

Jul 2026

0:00 / 31:41

Should I Use Notebooks More Often? (Cal’s Strategy) | Monday Advice

Jul 2026

0:00 / 64:12

Do Managers Actually Understand AI? (I’m Not So Sure.) | AI Reality Check

Jul 2026

0:00 / 19:56

Should I Turn Off the Internet? (Lessons From a Family That Did) | Monday Advice

Jul 2026

0:00 / 65:48

Can I Be a Digital Minimalist in 2026? | Monday Advice

Jun 2026

0:00 / 59:48

Dear AI Companies: Stop the “Doom Trolling” | AI Reality Check

Jun 2026

0:00 / 22:04

Am I Lazy or Overstimulated? | Monday Advice

Jun 2026

0:00 / 55:01

Was the Mythos Ban Justified? (Good Idea. Bad Execution.) | AI Reality Check

Jun 2026

0:00 / 29:25

Do I Need a “Brain Gym”? | Monday Advice

Jun 2026

0:00 / 60:24

Are We About to Lose Control of AI? | AI Reality Check

Jun 2026

0:00 / 20:37

Should I Press Pause? | Monday Advice

Jun 2026

0:00 / 30:09

How Do I Escape the “Busyness Singularity”? | Monday Advice

Jun 2026

0:00 / 45:08

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