Keynote: State of Open GenAI
summary
Research group launches a September study and finds half of organizations already use generative AI, most plan major investment, and security/privacy are the main blockers; respondents prefer 41% vs 9% open versus proprietary models. The Linux Foundation hosts practical projects like PyTorch, MLflow, ONNX and a Unified Acceleration Foundation, and supports attribution tooling such as C2PA digital watermarks now embedded in cameras; EU draft drops proposed open‑source bans and an open high‑performing model appears from France.
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chapters (7)
- 0:00Welcome
- 1:25Openness defines GenAI
- 3:19Openness fears vs reality
- 5:49Transparency trust attribution
- 8:20Global adoption demand
- 11:50Linux Foundation in open AI
- 12:54Call to action
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