Open-source AI models are celebrated as the democratizing force that breaks Big Tech's monopoly. But downloading model weights is not the same as achieving AI sovereignty. From training infrastructure and hardware supply chains to software frameworks and evaluation standards, this article maps the seven layers of hidden dependency that turn open-source AI adoption into a sovereignty trap — and the framework for escaping it.
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