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Jason Droege: Why AI still needs someone to dig up the road

Through Meta's $14B stake and expert networks of doctors, engineers, and PhDs: production AI now takes 6 to 12 months, and Uber Eats lessons still apply.

Lenny RachitskyhostJason Droegeguest
Oct 9, 20251h 24mWatch on YouTube ↗

CHAPTERS

  1. 0:00 – 6:01

    Introduction to Jason Droege

  2. 6:01 – 10:27

    Jason’s early career and lessons learned

  3. 10:27 – 12:37

    The current state of Scale AI

  4. 12:37 – 17:02

    The shift to expert data labeling

  5. 17:02 – 18:48

    Challenges and strategies in finding experts

  6. 18:48 – 28:18

    Reinforcement learning and AI environments

  7. 28:18 – 31:21

    The future of AI and human involvement

  8. 31:21 – 35:25

    The role of evals

  9. 35:25 – 41:43

    What AI models will look like in the next few years

  10. 41:43 – 48:19

    Building Uber Eats and understanding customer needs

  11. 48:19 – 50:45

    The importance of independent thinking

  12. 50:45 – 53:03

    Setting high standards for new businesses

  13. 53:03 – 57:07

    Exploring and selecting business ideas

  14. 57:07 – 1:00:13

    The McDonald’s story

  15. 1:00:13 – 1:04:49

    The role of gross margins in business feasibility

  16. 1:04:49 – 1:09:12

    Why Jason says, “Not losing is a precursor to winning”

  17. 1:09:12 – 1:12:11

    Hiring and building teams

  18. 1:12:11 – 1:14:47

    AI corner

  19. 1:14:47 – 1:24:01

    Lightning round and final thoughts

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