『Free Form AI』のカバーアート

Free Form AI

Free Form AI

著者: Michael Berk
無料で聴く

Free Form AI is a builder-led podcast that explores the ever changing landscape of machine learning and artificial intelligence. We pressure-test ideas live and uncover what matters before it’s obvious, covering topics ranging from cutting-edge implementations to the philosophies of product development. Whether you're an engineer, researcher, or enthusiast, join us for practical takeaways to navigate the ever-changing world of AI.

2026 Michael Berk
出世 就職活動 経済学
エピソード
  • 50 Episodes Later, Here’s What We Got Wrong (E. 50)
    2026/08/28

    Fifty episodes into Free Form AI, we’re looking back at what actually changed our minds. We break down five lessons on why predicting AI is nearly impossible, how sharing unfinished ideas makes them better, why unexpected connections and analogies are powerful tools for learning, and how much control you actually have over your career and workplace culture.


    00:00 — Why predicting AI is nearly impossible
    07:00 — Why putting unfinished ideas in the open makes them better
    12:30 — Finding useful connections between unrelated ideas
    18:45 — Why analogies make technical ideas stick
    33:00 — Changing bad workplace culture, or knowing when to leave

    After 50 episodes, the biggest lesson might be simple: good ideas rarely arrive fully formed. You find them by exploring, debating, teaching, failing, and changing your mind.

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    38 分
  • Don’t Write a Tech Book for the Money (E. 49)
    2026/08/17

    Writing a technical book sounds great until you learn what it actually takes. In this episode, Ben breaks down his experience writing Machine Learning Engineering in Action, from pitching and rewriting chapters to technical reviews, royalties, and spending up to 60 hours a week on the process. We also get into whether publishing a tech book actually helps your career, why writing forces you to understand a subject deeply, and the communication lessons that make technical ideas stick.

    00:00 — How a technical book goes from idea to manuscript
    11:00 — Why chapters can require dozens of rewrites
    16:00 — What writing a book teaches you about communication
    27:00 — The editing and publishing process
    32:00 — Royalties, career value, and whether it’s worth it

    A tech book can build credibility and force you to master your subject. Just don’t expect it to be an easy way to make money.

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    38 分
  • 4 Years of Databricks Career Knowledge in 8 Tips (E.48)
    2026/07/31

    The best career advice isn't about climbing the ladder faster. It's about building habits that compound over decades. In this episode, Michael reflects on four years at Databricks, sharing eight lessons on career growth, systems thinking, mentorship, decision-making, and personal brand. Whether you're an engineer, technical leader, or just starting out, these are the principles that have had the biggest impact on how he works.

    00:00 — You are less important than you think
    05:00 — Why you should ask for forgiveness, not permission
    13:00 — Spend more time understanding the problem
    22:00 — System failure, not malice or incompetence
    32:00 — Building a career that compounds

    The biggest career advantages don't come from working harder. They come from thinking differently about how you work.

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    33 分
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