How big new AI regulatory pushes could affect open source
Tech BrewWill efforts to formally delineate open-source AI, like the Open Source Initiative’s recent definition, help with conversations about regulation?
Will efforts to formally delineate open-source AI, like the Open Source Initiative’s recent definition, help with conversations about regulation?
The Open Source Initiative, which defines what makes something open source and promotes it, has begun tackling what open source means for AI models.
Elastic announced that Elasticsearch and Kibana are being licensed under the GNU Affero General Public License v3 (AGPL), which is an Open Source Initiative (OSI)-approved open source license.
The Open Source AI Definition provides a solid foundation for understanding what constitutes an open-source AI system. It lays out clear criteria for transparency, accessibility, and ethical use, ensuring that AI models meet a minimum standard of openness. By adhering to the OSIAID, developers, and users can have confidence that an AI model meets basic standards of openness and transparency.
Per a new definition for open models, Meta’s Llama 3 and Google’s Gemma don’t qualify, though not everyone agrees. Here’s why that could put the products that use them on shaky ground.
Stefano Maffulli, the OSI’s executive director, wrote, “We are delighted to welcome Elastic back into the open source ecosystem.”
Purists are pushing back against Meta’s efforts to set its own standard on the definition of open-source AI. Stefano Maffulli, head of the OSI, says Mr Zuckerberg “is really bullying the industry to follow his lead”.
The Open Source Initiative (OSI) recently unveiled its latest draft definition for “open source AI,” aiming to clarify the ambiguous use of the term in the fast-moving field. The move comes as some companies like Meta release trained AI language model weights and code with usage restrictions while using the “open source” label. This has sparked intense debates among free-software advocates about what truly constitutes “open source” in the context of AI.
Unlike proprietary models, which can be restrictive and expensive, open-source models are freely available for modification and integration.
A new working definition of what the term means for AI could change that and has just been released by the Open Source Initiative (OSI), the self-appointed stewards of the term.
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
Open-source AI is everywhere right now. The problem is, no one agrees on what it actually is. Now we may finally have an answer. The Open Source Initiative (OSI), the self-appointed arbiters of what it means to be open source, has released a new definition, which it hopes will help lawmakers develop regulations to protect consumers from AI risks.