In line with this stance, a group of proponents who adhere to the OS’s definition of open source, without regard for restrictions deemed necessary by the Open Source Initiative. The industry’s reaction has been largely one of apathy. Here’s one reason why: the OSI model is all about standards, protocols, and interoperability between different systems. As a driving force behind open-source Large Language Models (LLMs), Meta has made significant contributions, with many believing that no one else has done more in this space. Looking further back, pioneers of open-source software can draw inspiration from Apache Cassandra, React, GraphQL, PyTorch, and other Meta initiatives that have met the Open Source Initiative’s rigorous standards.

While it’s understandable to feel frustrated with an entity responsible for developing numerous influential open-source projects,

Despite a lack of consensus on the definition of open-source AI, some people still express significant dissatisfaction with the current state of affairs. The Open Source Initiative (OSI) has recently released a definition for open-source artificial intelligence (AI), a move that, like its approach to cloud computing, is seen as playing catch-up with the industry’s evolving landscape. However, this latest effort has drawn criticism from some of OSI’s most devoted advocates, who are dismayed by the organization’s decision not to require that AI training data be made openly available.