Not all ‘open source’ AI models are actually open: here’s a ranking
NatureMany of the large language models that power chatbots claim to be open, but restrict access to code and training data.
Many of the large language models that power chatbots claim to be open, but restrict access to code and training data.
The Open Source Initiative (OSI), the organization widely seen as responsible for setting that standard, recently embarked on a road trip of sorts to ask around about its proposed definitions. Executive Director Stefano Maffulli told us the complexities of the tech and the pace of its development pose unprecedented challenges.
After two years of work, OSI has a draft definition, Stefano Maffulli, executive director of OSI, told The New Stack. The team is going through a “validation phase,” he said, making sure the definition includes everything that falls into the open source category, or is likely to.
“AI is different from regular software and forces all stakeholders to review how the Open Source principles apply to this space,” said Stefano Maffulli, OSI’s executive director. “OSI believes that everybody deserves to maintain agency and control of the technology. We also recognize that markets flourish when clear definitions promote transparency, collaboration and permissionless innovation.”
Open-source software is any such computer code that can be freely distributed, copied or altered to a developer’s own ends. The nonprofit Open Source Initiative, an industry organization, sets other stipulations and standards for what software is considered open source, but it is largely a matter of the code’s being free and open for anyone to use and improve.
Efforts to create a clearer definition for open source A.I. are underway. Researchers at the Linux Foundation in March published a framework that places open source A.I. models into various categories. And the Open Source Initiative, another nonprofit, is trying to draft a definition.
The Open Source Initiative – the non-profit overseeing the Open Source Definition, which lays out the requirements for software licenses – is taking its effort to define Open Source AI to the wisdom of the crowds.
With the debate over what constitutes ‘open source AI’ still raging, the OSI looks to create a clear-cut definition through a new initiative
The Open Source Initiative (OSI) is on a mission to define “Open Source AI.” It wants to be able to provide a framework that can be used to determine if an AI system is open source or not, as there is not currently a framework for doing so.
The OSI is planning a series of workshops to help it refine its working definition of open source AI, with support from Amazon, Cisco, Google and the Sloan Foundation.
The Open Source Initiative is leading an open, community-driven process to detail how the open source definition applies in the context of an AI world. But even without that process, we already know that Meta’s custom license, by restricting usage and the ability to create derivative works, violates multiple tenets of both the current definition of open source and any final work of the OSI community that’s specific to AI.
Open source implies that developers can use the models how they choose, unfettered. But in the case of Llama 3 — as with Llama 2 — Meta has imposed certain licensing restrictions.
