The Open Source Initiative (OSI) recently introduced the Open Source AI Definition (OSAID) to clarify what qualifies as genuinely open-source AI. To meet OSAID standards, a model must be fully transparent in its design and training data, enabling users to recreate, adapt, and use it freely.
The Open Source Initiative (OSI) released Open Source AI Definition (OSAID) 1.0 on Oct. 28, 2024, at the All Things Open conference. Creating it wasn’t easy. It took the OSI almost two years to create and set up the OSAID.
The OSI and allies are a step closer to an open-source artificial intelligence definition, and purists aren’t the only ones unhappy.
The OSI has been working diligently on creating a comprehensive definition for open-source AI, similar to the Open-Source Definition for software. This critical effort addresses the growing need for clarity in determining what makes up an open-source AI system at a time when many companies claim their AI models are open source without really being open at all, such as Meta’s Llama 3.1
The OSI has been working diligently on creating a comprehensive definition for open-source AI, similar to the Open-Source Definition for software. This critical effort addresses the growing need for clarity in determining what makes up an open-source AI system at a time when many companies claim their AI models are open source without really being open at all, such as Meta’s Llama 3,1.
The National Telecommunications and Information Administration (NTIA) issued a report supporting open-source and open models to promote innovation in AI, while emphasizing the need for vigilant risk monitoring.
AI can’t exist without open source, but the top AI vendors are unwilling to commit to open-sourcing their programs and data sets. To complicate matters further, defining open-source AI is a messy issue that has yet to be settled.
Is Meta’s 405 billion parameter model really open source? Depends on who you ask. Here’s how to try out the new engine for yourself.
