LinkedIn co-founder Reid Hoffman shares startup secrets

LinkedIn co-founder Reid Hoffman shares startup secrets

May 9, 2017 · 42 min

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It’s been 15 years since Reid Hoffman co-founded LinkedIn. The company was acquired by Microsoft last year for $2.6 billion and Hoffman now sits on Microsoft’s board, but he’s still very much an entrepreneur. On this episode of the GeekWire Podcast, we share Hoffman’s full talk at the recent Technology Alliance Luncheon in downtown Seattle, where he shares thoughts on how to drive entrepreneurship, the success of Silicon Valley entrepreneurs and, of course, Settlers of Catan. Follow all our coverage, including more on Hoffman's talk, at GeekWire.com. Thank you to this week’s sponsors: Wealthsimple — GeekWire listeners pay no management fees for a year when they invest up to $15,000 on Wealthsimple’s automated investing platform. GoDaddy — who is offering GeekWire listeners 35 percent off their purchase of a GoDaddy domain. Just use offer code gearedup35 at checkout. See omnystudio.com/listener for privacy information.

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Chapters

  1. 0:00 Introduction and Hosts
  2. 0:29 John Cook's Takeaways on Reid Hoffman's Talk
  3. 1:47 Silicon Valley vs. Seattle Tech Scene
  4. 2:32 The Udo Loop and Settlers of Catan
  5. 2:58 Reid Hoffman's Talk: LinkedIn's Founding and Microsoft Acquisition
  6. 3:51 LinkedIn's Mission and Microsoft's Role
  7. 4:49 M&A: The Importance of Aligned Missions
  8. 5:24 Anecdote: Intellectual Ventures Science Dinner
  9. 5:53 Joining the Microsoft Board
  10. 6:54 Learning from Microsoft's Scale and Focus
  11. 7:06 Silicon Valley's Myopia vs. Seattle's Deep Tech
  12. 7:57 Partnership Potential Between Microsoft and Seattle Tech
  13. 8:25 Silicon Valley's Naivete and Cultural Patterns
  14. 9:04 Sponsor: Fred Hutch Obliteride
  15. 9:41 AI in the Public Interest
  16. 10:09 Timelines and Probabilities of Generalized AI
  17. 11:10 Ethical Implications of AI
  18. 11:59 Training AI with Buddhist Ethics
  19. 12:14 The Transition from Machine Learning to True AI
  20. 12:51 AI Learning vs. Programming
  21. 13:32 Algorithmic Approaches in AI
  22. 13:56 Historical Parallels in Scientific Discovery

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