Keynote: From Artisans to AI: The Evolution of the Open Source Ecosystem
summary
Argues that data is the new code and that Google Maps relies on 80% data, warns that ML training needs controlled dataset access to avoid balkanizing the web, and urges building a diverse AI ecosystem so only large vendors do not dominate. Cites regulatory pressure (Cyber Resilience Act) and a failed eCall 3G requirement as examples requiring more documentation and accountability for code. Points to ML Commons and foundations as practical coordination mechanisms.
AI-written summary · about
chapters (17)
- 0:00Introduction
- 0:33Who is Ed
- 2:05Data is the new code
- 3:25Machine learning
- 4:56Diversity of the ecosystem
- 6:22Regulatory access to software
- 7:30Cybersecurity resilient act
- 8:26The Wright Brothers
- 9:35Spitfire
- 11:30Legislation
- 12:56Active participants
- 13:31Googles role
- 13:52We need your help
- 14:16Diversity of discussion
- 14:56Googles interest
- 15:22Moving forward together
- 16:31Outro
related talks
42mKeynote: Does Open Data Science Lead to the End of the World?
16mKeynote: Open Source for AI and AI for Open Source
21mKeynote: "Open as in:"
05mKeynote: Opening Address
13mThe Good, The Bad And The Ugly Of Open Source AI
48mOpen Source: What's Next
13mKeynote : The Open Source AI Alliance
15mKeynote: Open Matters