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