Open-source artificial intelligence
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| Glossary |
Open-source artificial intelligence, as defined by the Open Source Initiative, is an AI system that is freely available to use, study, modify, and share. This includes datasets used to train the model, its code, and its model parameters, promoting a collaborative and transparent approach to AI development so someone could create a substantially similar result.
The debate over what should count as 'open-source' given a range of openness among AI projects has been significant. Some large language models touted as open-sourced that are merely open weights and do not release training data and code have been criticized as "openwashing" systems that are mostly closed. For example, Artificial Analysis gives an "Openness Index" of 83% to Nvidia's Nemotron family, for its greater transparency in methodology, pre-training data, and post-training data, while China's frontier open weights models broadly score under 50%.
Open-source AI is a major issue in geopolitics and artificial intelligence controversies, sometimes characterized as an AI arms race or AI Cold War between the US and China. Broadly, models released by Chinese companies, such as DeepSeek, Alibaba Cloud, Moonshot AI and Z.ai, use an open weights framework, under more permissive software licenses like Apache or MIT. United States AI companies, including OpenAI, Anthropic, SpaceXAI, Google DeepMind largely favor a proprietary software framework, especially for larger models. These are in part national government policy decisions, because public access to AI technology has many consequences. Some US politicians have called to restrict US public access to Chinese AI tools.
Popular open-source artificial intelligence project categories include large language models (LLM), machine translation tools, and chatbots. Debate over the benefits and risks of open-sourced AI involve a range of factors like security, privacy and technological advancement. As of July 2026, the largest open weight frontier model is Kimi K3, developed by Moonshot AI, at 2.8 trillion parameters, followed by Alibaba Cloud's Qwen3.8 at 2.4 trillion parameters.