Open Weights AI Model

An open weights AI model is one where the internal parameters the AI learned during training are made public, so anyone can download it and run it themselves, or even modify it. Think of the difference between a restaurant that only sells finished dishes, and one that hands over the full recipe and ingredient ratios. With the latter, customers can recreate the dish at home or tweak it to their own taste.

But "open weights" doesn't mean every part of the development process is disclosed. Some releases do include the original training data and methodology, but it's far more common for only the final trained parameters to be made public. Even so, this alone lets companies or governments install the AI directly on their own servers and use it without sending data outside — which is why open weights models are getting so much attention lately.

Because of this trait, open weights models have also become tools in geopolitical competition. One side is building alliances around closed AI systems made by its own companies, while the other is spreading its own open weights models worldwide to build an alternative camp.

In the article, it says: "The World AI Cooperation Organization (WAICO) is positioning China's open weights AI models as an alternative to American systems like OpenAI and Anthropic." A common misunderstanding is that "open weights" implies lower performance or weaker safety. In fact, it's purely about disclosure — that is, about who controls the AI.

Try searching for names known to be open weights, like DeepSeek or Alibaba's Qwen, on a site like Hugging Face. If you immediately see a download button and a list of parameter files, it's an open weights model. If instead you only find an access request form or API documentation, it's likely a closed model.