Open AI (Two Words): The Only Path Forward for AI
summary
Argues that open-source AI is regaining parity with closed models as the performance gap shrinks to about one to two months, driven by projects like PyTorch, DeepSpeed and Hugging Face (now ~1.5 million users and 1.8M models with ~80M monthly visits). Introduces a 16-component Model Openness Framework (architecture, weights, data, docs) and a permissive OpenMDW license covering model materials, waiving restrictions on outputs, and practical tooling for JSON indexing and badges.
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chapters (9)
- 0:00Open source AI resurgence
- 3:10Open source AI ecosystem impact
- 7:00Open source AI challenges
- 10:07Model Openness Framework
- 14:44Adoption licensing hurdles
- 17:37Introducing Open MDW license
- 22:10Open MDW vs other licenses
- 22:51Need for open AI standards
- 25:05Summary future of open source AI
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