The Open Source AI Definition Is (Almost Ready)
summary
A Release Candidate of an Open Source AI Definition claims a concrete, testable standard: require access to weights and inference code, tokenizers, and training provenance while treating raw training data differently. The definition was co‑designed globally, distilled from component votes on systems (Piai, Bloom, LLaMA, Falcon, LLM360) and then tested on 12 models in a two‑phase audit where expected pass/fail outcomes matched, producing a working definition plus a separate evolving checklist for practical evaluation.
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chapters (10)
- 0:00Introduction
- 2:30OSI tackling AI openness
- 5:41Urgency behind AI definition
- 8:55Co-design process
- 12:10Focusing on ML AI systems
- 17:36Key components of OS AI definition
- 23:26Data transparency challenges
- 30:06Balancing data sharing constraints
- 37:13Finalizing AI definition
- 41:13Next steps and timeline
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