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  • 13:55en

    Finally a Normal CEO

    The PrimeTime·May 28, 2026

    Strauss Zelnick defends AI as an efficiency tool, but shrinks its creative claims: successes, he says, still come from taste and risk.

  • 10:37en

    Work for Someone Else

    ThePrimeagenHighlights·May 29, 2026

    ThePrimeagen argues that people who truly love programming should stay close to the code. He also describes how AI changed the way he builds and enjoys work.

  • 14:39es

    Waste Tokens, Save Time

    Naval·May 27, 2026

    Ravikant y tres fundadores describen cómo la IA está desplazando el valor del código al juicio, de la salida a la fábrica que la produce.

  • 1:21:01

    Building OpenCode with Dax Raad

    The Pragmatic Engineer·May 27, 2026

    Open-Code-Mitgründer Dax Raad erklärt, warum KI Teams schneller macht, aber nicht automatisch bessere Produkte liefert.

  • 21:58

    Paul Graham, Founder of Y Combinator, Live from Stockholm

    Y Combinator·May 13, 2026

    Graham erklärt, warum Gründer Zeit im Silicon Valley verbringen sollten und warum Stockholm profitieren könnte, wenn sie zurückkehren.

  • 1:02:53en

    Harvey CEO: How a 31-year old Runs an $11B Company

    The Knowledge Project Podcast·May 12, 2026

    Harvey’s CEO explains how AI is changing legal work, and why he thinks human judgment remains the decisive advantage.

  • 1:10:25en

    How to win when software is not a moat | Evan Spiegel (Snapchat CEO)

    Lenny's Podcast·Apr 26, 2026

    Spiegel explains why durable consumer products are rare, how Snap tries to defend itself from copying, and why Specs is his bet on the next computer.

  • 1:33:56en

    Building Pi, and what makes self-modifying software so fascinating

    The Pragmatic Engineer·Apr 29, 2026

    Zenz and Roner explain why agents are speeding up work but also complexity, and why Pi tries to keep the human in the loop.

  • 2:07:29pt-BR

    Tim Ferriss on AI, India, Job Loss, GLP-1, Longevity and Biohacking @timferriss | PGX Ideas #2

    PGX Ideas·Apr 15, 2026

    Ferriss argumenta que a IA multiplica clareza e caos ao mesmo tempo, e que a questão central continua sendo escolher o jogo certo.

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