エピソード

  • Hovering on Heat: The Leidenfrost Effect from Kitchen Tricks to High-Tech Labs
    2026/03/01

    We explore the Leidenfrost effect—the droplets that skate on a hot pan and the surprising physics that follows. From inverse Leidenfrost and reactive variants to real-world applications in mass spectrometry and frictionless heat engines, we connect kitchen science to frontier technology and reveal why heat can sometimes slow the boil instead of speed it up.


    Note: This podcast was AI-generated, and sometimes AI can make mistakes. Please double-check any critical information.

    Sponsored by Embersilk LLC

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    6 分
  • Fogg Behavior Model: Designing Habits That Stick
    2026/03/01

    We break down the Fogg Behavior Model (B = MAP): Behavior equals Motivation, Ability, and Prompt. Motivation is the most volatile lever, so this episode shows how to engineer ability and prompts to keep habits moving—even on low-motivation days. Learn about spark, facilitator, and signal prompts, why a spark can backfire, and how the tiny-habits approach lowers friction so you can pass the action threshold. Practical tips include shrinking the first step by 30 seconds and diagnosing design breakdowns in everyday routines.


    Note: This podcast was AI-generated, and sometimes AI can make mistakes. Please double-check any critical information.

    Sponsored by Embersilk LLC

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    4 分
  • Stochastic Sirens: Listening for the Universe's Quiet Expansion
    2026/03/01

    We explore how researchers are using the stochastic gravitational-wave background—the ‘hum’ from countless unresolved black-hole mergers—as a gravity-only ruler to probe cosmic expansion. No loud events required: the current silence in the gravitational-wave background places tight constraints on slow-expansion scenarios and nudges us toward the higher Hubble constant. With LIGO, Virgo, and KAGRA, a definitive detection could arrive within six years, marking a new era in gravitational cosmology.


    Note: This podcast was AI-generated, and sometimes AI can make mistakes. Please double-check any critical information.

    Sponsored by Embersilk LLC

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    6 分
  • Harness Engineering: AI Agents at Scale and the Self-Healing Codebase
    2026/02/28

    We dissect the February 2026 OpenAI report on harness engineering, where AI agents write code under a human-curated harness. Learn how direct DOM access, structured logs, and automated refactoring enable scalable, reliable software—without humans typing lines of code. We discuss implications for developers, toolchains, and the future of software engineering.


    Note: This podcast was AI-generated, and sometimes AI can make mistakes. Please double-check any critical information.

    Sponsored by Embersilk LLC

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    6 分
  • The Drude Model of Electrical Conduction
    2026/02/28

    We dissect the 1900 Drude model—electrons as pinballs in a metal lattice—and tear apart the comforting water-in-a-pipe metaphor. Learn why the model could explain Ohm's law, how a fortuitous cancellation made the Wiedemann-Franz law look perfect, and how Sommerfeld's quantum statistics finally corrected the theory. Along the way we explore why a flawed, intuitive picture can still catalyze big progress, and what current approximations might hint at future breakthroughs in electronics and materials.


    Note: This podcast was AI-generated, and sometimes AI can make mistakes. Please double-check any critical information.

    Sponsored by Embersilk LLC

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    6 分
  • Buckets of Fish: Proofs and Strategies for Finitary Games
    2026/02/28

    A sunlit beach game that seems endless collapses to a finite finish as we dissect Buckets of Fish through the lens of finitary games. Learn how removing one fish from a bucket and dumping to the left creates a rightmost bucket countdown bounded by ordinals up to omega^omega, and why the one-word winning strategy drives victory. We also explore the take-three twist (leaving multiples of four) and connect these ideas to real-world data challenges and AI workflows.


    Note: This podcast was AI-generated, and sometimes AI can make mistakes. Please double-check any critical information.

    Sponsored by Embersilk LLC

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    6 分
  • Chaining Tasks, Redefining Work: The AI Flow Revolution
    2026/02/28

    We dive into the NBER paper 'Chaining Tasks, Redefining Work' by Mert Demirer, John J. Horton, Nicole Immorlica, Brendan Lucier & Peyman Shahidi, arguing that plugging AI into isolated steps rarely saves time. Instead, value comes from end-to-end chains and minimizing handoffs across manual, augmented, and automated modes. We explore the tentpole metaphor, fragmentation risks, and the J-curve of productivity, plus what it means to become architects of workflows rather than task managers.


    Note: This podcast was AI-generated, and sometimes AI can make mistakes. Please double-check any critical information.

    Sponsored by Embersilk LLC

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    6 分
  • The Skills Passport: Standard Chartered’s AI Workforce Revolution
    2026/02/27

    We unpack Standard Chartered Bank’s bold move to delete job titles and replace them with a dynamic skills marketplace. From sunset and sunrise roles to an AI-driven skills passport, the bank rescales 86,000 employees rather than laying them off. We explore how an internal Upwork/Uber for projects unlocks productivity, the math behind reskilling versus recruiting, and what this means for the future of work—employability over employment, and humans collaborating with machines as partners.


    Note: This podcast was AI-generated, and sometimes AI can make mistakes. Please double-check any critical information.

    Sponsored by Embersilk LLC

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    5 分