Changelog Master Feed

A podcast by Changelog Media

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2150 Episodes

  1. All things text mode (Changelog Interviews #340)

    Published: 4/04/2019
  2. The landscape of AI infrastructure (Practical AI #37)

    Published: 2/04/2019
  3. Bundle because you want to, not because you need to (JS Party #69)

    Published: 29/03/2019
  4. Why smart engineers write bad code (Changelog Interviews #339)

    Published: 29/03/2019
  5. Hey, is that Burt Reynolds? (Backstage #3)

    Published: 26/03/2019
  6. Growing up to become a world-class AI expert (Practical AI #36)

    Published: 25/03/2019
  7. What kind of moisture sensors do you use? (JS Party #68)

    Published: 22/03/2019
  8. The great divide reprise (JS Party #67)

    Published: 20/03/2019
  9. Social AI with Hugging Face (Practical AI #35)

    Published: 18/03/2019
  10. Funding OSS with Mozilla Open Source Support awards (Changelog Interviews #338)

    Published: 13/03/2019
  11. The White House Executive Order on AI (Practical AI #34)

    Published: 11/03/2019
  12. Mastering the art of conference-driven development (JS Party #66)

    Published: 8/03/2019
  13. Homebrew! Part Deux (Changelog Interviews #337)

    Published: 6/03/2019
  14. Building rapid UI with utility-first CSS (JS Party #65)

    Published: 4/03/2019
  15. Staving off disaster through AI safety research (Practical AI #33)

    Published: 4/03/2019
  16. Containerizing compute driven workloads with Singularity (Changelog Interviews #336)

    Published: 28/02/2019
  17. OpenAI's new "dangerous" GPT-2 language model (Practical AI #32)

    Published: 25/02/2019
  18. TensorFlow.js and Machine Learning in JavaScript (JS Party #64)

    Published: 25/02/2019
  19. Enabling open code for science at NumFOCUS (Changelog Interviews #335)

    Published: 22/02/2019
  20. AI for social good at Intel (Practical AI #31)

    Published: 20/02/2019

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Your one-stop shop for all Changelog podcasts. Weekly shows about software development, developer culture, open source, building startups, artificial intelligence, shipping code to production, and the people involved. Yes, we focus on the people. Everything else is an implementation detail.

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