Attention — Aug 2, 2026

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

Deep Questions with Cal Newport (Podcast:06:12) - Published 2026-06-24 23:00 - Discovered 2026-08-02 06:12

In this episode, computer scientist and author Cal Newport critiques the prevailing communication strategy of major AI companies, which he terms “doom trolling.” He argues that instead of highlighting the practical benefits of their technologies, leaders at firms like OpenAI and Anthropic consistently amplify fears of existential risks, economic disruption, and superintelligence. Newport traces th…

Am I Lazy or Overstimulated? | Monday Advice

Deep Questions with Cal Newport (Podcast:06:17) - Published 2026-06-21 23:00 - Discovered 2026-08-02 06:17

In this episode of Deep Questions, Cal Newport and Jesse examine the common struggle of procrastinating on meaningful projects while remaining constantly engaged with low-value digital distractions. Prompted by a viral Reddit post claiming people are “overstimulated, not lazy,” Newport consults Georgetown psychology professor Kostadin Kuchlev to separate fact from fiction. Kuchlev clarifies that t…

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

Deep Questions with Cal Newport (Podcast:06:22) - Published 2026-06-16 23:00 - Discovered 2026-08-02 06:22

This episode examines the Trump administration’s decision to place Anthropic’s Claude Mythos and its guarded variant, Fable 5, on an export control list after researchers reportedly jailbroke its safety guardrails. While experts criticized the administration’s opaque and abrupt execution, host Cal Newport separates the flawed implementation from the underlying policy questions. Newport explains th…

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

Deep Questions with Cal Newport (Podcast:06:26) - Published 2026-06-14 23:00 - Discovered 2026-08-02 06:26

In this episode of Deep Questions, Cal Newport explores the concept of “cognitive fitness,” framing it as a necessary revolution to counteract the mental degradation caused by digital distractions and AI reliance. Inspired by a recent article that imagines a $100 billion cognitive fitness industry, Newport structures his advice into three escalating tiers of commitment. The first, “moderate intens…

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

Deep Questions with Cal Newport (Podcast:06:31) - Published 2026-06-10 23:00 - Discovered 2026-08-02 06:31

In this episode of “AI Reality Check,” Cal Newport examines Anthropic’s recent report warning about the potential for AI to achieve recursive self-improvement and eventually surpass human control. The report highlights accelerating metrics in AI-assisted software development, such as increased lines of code per engineer and higher success rates in solving complex programming tasks using new AI cod…

Should I Press Pause? | Monday Advice

Deep Questions with Cal Newport (Podcast:06:34) - Published 2026-06-07 23:00 - Discovered 2026-08-02 06:34

In this episode of Deep Questions, Cal Newport explores the strategic importance of “pressing pause” on the relentless busyness of modern life to regain mental clarity and long-term direction. Recording from a retreat in Asheville, North Carolina, Newport argues that constant digital distractions and context-switching degrade cognitive capacity, while familiar environments limit original thought.…

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

Deep Questions with Cal Newport (Podcast:06:39) - Published 2026-05-31 23:00 - Discovered 2026-08-02 06:39

In this episode, Cal Newport explores the growing crisis of “pseudo-productivity” in modern knowledge work, where visible busyness replaces actual value creation as the primary metric of professional worth. He traces this phenomenon back to the mid-20th century, noting how digital tools like email, instant messaging, and mobile computing have progressively amplified shallow work. With the advent o…

Did AI Just “Solve” Math? (Let’s Take a Closer Look) | AI Reality Check

Deep Questions with Cal Newport (Podcast:06:42) - Published 2026-05-27 23:00 - Discovered 2026-08-02 06:42

In this episode, Cal Newport examines OpenAI’s recent announcement that an LLM disproved Paul Erdős’s 1946 conjecture on the planar unit distance problem. Newport clarifies that the AI did not “solve” the problem but instead generated a lengthy chain-of-thought transcript that human mathematicians later refined into a counterexample, showing Erdős’s proposed upper bound was incorrect. While the re…

How Do I Reclaim My Schedule? (w/ Laura Vanderkam) | Monday Advice

Deep Questions with Cal Newport (Podcast:06:47) - Published 2026-05-24 23:00 - Discovered 2026-08-02 06:47

In this episode of Deep Questions, host Cal Newport interviews time management expert Laura Vanderkam about shifting from a mindset of time scarcity to one of time abundance. Vanderkam challenges the widespread belief that people lack free time, revealing through extensive time-tracking data that everyone has unaccounted hours, which are often passively consumed by low-quality digital distractio…

Has AI Conquered Coding? (It’s Not So Simple…) | AI Reality Check

Deep Questions with Cal Newport (Podcast:06:53) - Published 2026-05-20 23:00 - Discovered 2026-08-02 06:53

The video analyzes a provocative essay by programmer Lars Faye, “Agentic Coding is a Trap,” which critiques the prevailing narrative that AI agents are revolutionizing software development to the point of rendering human coding obsolete. While the tech community buzzes with excitement over tools like Claude Code, with some developers claiming to become “10x” or “100x” productive, Faye warns that t…

Am I Addicted to My Phone? (w/ Anna Lembke) | Monday Advice

Deep Questions with Cal Newport (Podcast:06:58) - Published 2026-05-17 23:00 - Discovered 2026-08-02 06:58

In this episode of Deep Questions, host Cal Newport interviews Dr. Anna Lembke, a Stanford psychiatrist and author of Dopamine Nation, to explore the growing crisis of digital addiction. Dr. Lembke describes a shift from isolated behavioral addictions to a “diffuse internet addiction,” where individuals compulsively cycle through social media, online shopping, gambling, and pornography. She ex…

Is AI About to “Eat Everything”? | AI Reality Check

Deep Questions with Cal Newport (Podcast:07:04) - Published 2026-05-13 23:00 - Discovered 2026-08-02 07:04

In this episode, Cal Newport provides a grounded analysis of the recently updated METR AI time horizon chart, which has sparked widespread anxiety and hype about artificial superintelligence rapidly surpassing human capabilities. Newport clarifies that the chart does not measure general AI intelligence, but rather tracks how well specific large language models, combined with advanced coding harnes…

Do I Need a Digital Intervention? | Monday Advice

Deep Questions with Cal Newport (Podcast:07:07) - Published 2026-05-10 23:00 - Discovered 2026-08-02 07:07

In this episode, Cal Newport examines a rigorous randomized controlled trial published in PNAS Nexus demonstrating that blocking mobile internet on smartphones for just two weeks yields substantial improvements in sustained attention, mental health, and subjective well-being. The study found that participants reduced their daily screen time by approximately 150 minutes, which naturally reallocated…

Is the AI Doom Fever Breaking? | AI Reality Check

Deep Questions with Cal Newport (Podcast:07:09) - Published 2026-05-06 23:00 - Discovered 2026-08-02 07:09

In this episode, Cal Newport examines the recent shift in rhetoric among major AI company CEOs, who are moving away from apocalyptic narratives about mass job displacement and existential threats toward more measured messaging that emphasizes AI as a tool to augment human capabilities. He highlights recent statements from Sam Altman and NVIDIA’s Jensen Huang, who explicitly reject “job doomerism”…

Why Do Better Tools Make Me Worse at My Job? (w/ David Epstein) | Monday Advice

Deep Questions with Cal Newport (Podcast:07:14) - Published 2026-05-03 23:00 - Discovered 2026-08-02 07:14

In this episode of Deep Questions, host Cal Newport sits down with author David Epstein to explore Eliyahu Goldratt’s Theory of Constraints, a management principle that explains why adopting new productivity tools often leaves us feeling busier but less effective. The core idea is simple: every system, whether a factory, an athlete’s training regimen, or a knowledge worker’s daily routine, is li…

Is AI About to Automate Every Office Job? | AI Reality Check

Deep Questions with Cal Newport (Podcast:07:18) - Published 2026-04-29 23:00 - Discovered 2026-08-02 07:18

In this episode of “Deep Questions,” Cal Newport challenges Microsoft CEO Mustafa Suleyman’s bold prediction that AI will fully automate most white-collar, knowledge-based jobs within 12 to 18 months. Newport argues that this claim is an outlier and fundamentally misrepresents the current trajectory and technical realities of AI development. He structures his counterargument around three key point…

How Do I Build “Cognitive Fitness”? | Monday Advice

Deep Questions with Cal Newport (Podcast:07:22) - Published 2026-04-27 01:29 - Discovered 2026-08-02 07:22

In this episode, Cal Newport expands on his recent New York Times essay by introducing a structured, five-component framework for building “cognitive fitness” to counteract the mental fragmentation caused by modern technology. Drawing a direct parallel to physical exercise, Newport argues that just as we maintain physical health through routine, we must deliberately train our brains to sustain dee…

Deep Questions with Cal Newport (Podcast:07:28) - Published 2026-04-23 08:30 - Discovered 2026-08-02 07:28

In this episode, Cal Newport and AI commentator Ed Zitron conduct a reality check on the AI industry’s trajectory in early 2026, dissecting three major stories to determine whether the sector is truly advancing or inflating a bubble. First, they examine the viral “Moltbook” and OpenClaw hype, revealing it as a media-fueled misunderstanding. OpenClaw is merely a Python library for building AI agent…

Ep. 400: Should I Embrace “Slow Technology”?

Deep Questions with Cal Newport (Podcast:08:54) - Published 2026-04-12 23:00 - Discovered 2026-08-02 08:54

In this episode of Deep Questions, Cal Newport explores “slow technology,” a movement that prioritizes simplicity, intentional friction, and reduced digital distraction over speed and convenience. The conversation centers on an interview with award-winning children’s author Amy Timberlake, who recently returned to using a vintage mechanical typewriter for her drafting process. Despite the added…