Summary:

- The article discusses the concept of "open-washing" in the AI governance landscape, where large language models (LLMs) are claimed to be open-source but have significant limitations or restrictions in their actual openness.
- It highlights the importance of transparency and accountability in the development and deployment of AI systems, arguing that true open-source models should provide full access to the model architecture, training data, and training process.
- The article emphasizes the need for a more rigorous and standardized approach to defining and evaluating the openness of AI models, to ensure that the claims of open-source are not used as a marketing tactic without genuine transparency and accessibility.