Q&A with Keynote Travis Oliphant
summary
A candid account of how open source converts to cash claims 3,000 copies sold (~$90,000) with ~$60,000 funding a PhD student, argues that companies monetize numpy/pandas/Jupyter without giving back, and describes concrete initiatives: open teams to fund and assign credit, a spinout and fund called Quonset/Quansite, and plans for a 50–75 person team at Quonset Labs to support maintenance and consulting. Examples compare TensorFlow vs PyTorch community strategy and recommend legal and procurement fixes.
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chapters (20)
- 0:00Q&A
- 1:01Open source funding challenges
- 3:08Open source vs commercial trade-offs
- 4:32Open Teams mission
- 6:16Quonset Labs venture fund
- 8:05Why support open source
- 11:17Company size and OSS dependency
- 14:50Measuring OSS contributions
- 16:11Case studies and advocacy
- 18:24Incentives in OSS projects
- 20:13Fair OSS accountability
- 23:13Funding fabric for OSS
- 26:00Practical OSS support steps
- 27:53Encouraging OSS adoption
- 29:58Company vs community OSS
- 32:10Legal OSS procurement
- 33:50OSS maintenance governance
- 35:56Grant funding for OSS maintenance
- 36:59Open Teams platform
- 37:58Contribute to and benefit from OSS
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