In a move that could reshape the artificial intelligence landscape, the Open Source Initiative (OSI) has released its official definition of "open" artificial intelligence, setting a new standard for transparency and accessibility in AI development. The definition requires open-source AI systems to provide access to training data, complete code, and model settings, sparking a clash with tech giants like Meta, whose Llama model falls short of these standards.

Meta's Llama, widely promoted as the largest open-source AI model, does not provide access to its training data, citing safety concerns and commercial restrictions. However, critics argue that the company is motivated by a desire to protect its competitive advantage and minimize legal liability.

The OSI definition is a significant development in the AI community, as it sets a clear benchmark for what constitutes open-source AI. The organization's executive director, Stefano Maffulli, believes that this definition will help push back against companies that claim to be open-source but do not meet the standards.

The debate surrounding open-source AI has far-reaching implications for the tech and startup community. As AI continues to transform industries, the question of who owns and controls AI models and their underlying data will become increasingly important. The OSI definition is a crucial step towards promoting transparency, collaboration, and innovation in AI development.

The Linux Foundation has also attempted to define open-source AI, signaling a growing debate over how traditional open-source values will adapt to the AI era. As the tech community grapples with the complexities of AI development, the OSI definition is a timely reminder of the importance of openness, transparency, and collaboration in shaping the future of AI.