OSI Finalizes a ‘Humble’ First Definition of Open Source AI
The New StackThe Open Source Initiative’s Release Candidate 1 identifies four categories of data and demands sharing of data, source code and model parameters.
The Open Source Initiative’s Release Candidate 1 identifies four categories of data and demands sharing of data, source code and model parameters.
The OSI and allies are a step closer to an open-source artificial intelligence definition, and purists aren’t the only ones unhappy.
As Stefano Maffulli, executive director of the OSI, said at the time: “We are delighted to welcome Elastic back into the Open Source ecosystem…
For the past four years, Elastic has given customers a choice between its proprietary Elastic license or the SSPL (server side public license), which was created by MongoDB and subsequently failed to get approved as “open source” by the Open Source Initiative (OSI), the stewards of the official open source definition.
The Open Source Initiative has been working on defining open source AI for the past two years, and they should release their definition in November,” Columbro said. “OSI’s approach will focus on the principles, providing a binary definition of open source AI — either it is or it isn’t.
The Open Source Initiative (OSI) released a near-final definition of open source AI that will free up the broad community of AI developers to create a flourishing movement for AI innovation, much like with the creation of the internet itself.
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.”
