<ul><li>The rise of Artificial Intelligence has led to a shift in development and usage of powerful tools, with a focus on 'openness' and licensing strategies.</li><li>The article discusses the distinctions between terms like 'open-weight,' 'open-source,' and 'source-available,' emphasizing the importance of understanding licensing strategies in the AI landscape.</li><li>It explains the traditional definition of 'open-source' according to the Open Source Initiative (OSI) and highlights licenses like the MIT and Apache 2.0 License.</li><li>Various licensing strategies, such as 'open-weight,' 'source-available,' and Responsible AI Licenses (RAILs), are explored, showcasing the complexities and implications for AI innovation and ethical deployment.</li></ul>

Navigating the AI Licensing Labyrinth: Truly Open vs. Restricted "Open-Weight" Models

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