The text discusses the evolution of the concept of open source and its application in the field of AI models. It highlights the tension between commercial interests and the ideals of open source. The author mentions the LLaMA2 model and the controversy surrounding its classification as open source due to certain restrictions. The text also delves into the history of the free software and open source movement, highlighting the differences between the two. It mentions the bifurcation caused by tensions between commercial open source companies and cloud hyperscalers. The rise of open models in the AI community is also discussed, with a focus on the definition and implications of “open weights.” The author concludes by emphasizing the importance of openness in the field and the potential positive impact of Meta’s contribution to the progress of the AI space.
| Signal | Change | 10y horizon | Driving force |
|---|---|---|---|
| Open Source Evolution in AI Models | Change in definition of “open source” | More openness in sharing training code and data | Cost-prohibitive nature of training runs |