Does Open Source Software Still Matter?
DatanamiElastic 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.
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.
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
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.
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.
For the past two years, the Open Source Initiative (OSI) has been working on developing a definition for Open Source AI that the industry can use to determine which models are actually considered open, and it has a new draft of the definition to share as it nears the final release in October.
The Open Source Initiative (OSI), the organization widely seen as responsible for arbitrating openness standards, published the latest version of its definition of open-source AI on Thursday. The document comes after months of consulting with various developers, academics, and other concerned parties on a roadshow of workshops around the world.
