Keynote: The Community of Intelligence
summary
Claims that open source already creates massive economic value — $8.8 trillion from popular projects — and that that model guides AI governance and datasets. Notes Linux’s lasting utility versus fleeting tooling like GitHub Copilot, and cites StarCoder 2 trained on Software Heritage outperforming a GitHub-trained model. Lays out Software Heritage’s three rules: open outputs, provable provenance, and opt‑out. Describes cross-foundation work (Open Harmony partnership, open regulatory compliance groups) and a rainforest acoustics project processed on Huawei Cloud.
AI-written summary · about
chapters (8)
- 0:00Technology threats and open source
- 1:45Open source value creation
- 3:31Community-driven AI intelligence
- 4:13Huawei in AI communities
- 5:55Regulations and compliance
- 7:20Global open source collaboration
- 9:03AI for wetland protection
- 10:47Future of open-source AI
related talks
13mKeynote: Introductory Remarks
06mKeynote: The Open Source Pathway: Democratizing AI's Benefits to Korea's Economy, Society, and Workforce
26mOpen Source is Dead
29mThe Open Source Imperative in AI: Transparency, Governance, and Global Collaboration
42mKeynote: Does Open Data Science Lead to the End of the World?
15mKeynote: The Moat Moved from Code to Context
10mKeynote: Open Source & AI at the Core: How Microsoft Builds and Runs on OSS
17mThe Future of AI, from an Open Source Perspective
