『Deep Questions with Cal Newport』のカバーアート

Deep Questions with Cal Newport

Deep Questions with Cal Newport

著者: Cal Newport
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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.© 2024 Deep Questions with Cal Newport 個人的成功 自己啓発
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  • “Rogue” AI Not Inevitable. It’s a Choice.
    2026/10/19
    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. Learn more about your ad choices. Visit podcastchoices.com/adchoices
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    1 時間 18 分
  • An Unlikely Team Tackles AI Brain Rot
    2026/10/12
    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
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    1 時間 6 分
  • A Stark Warning From a Former AI Doomer
    2026/10/08
    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
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    1 時間 18 分
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