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Open-weight AI models, which allow download and modification of trained parameters without full training data, are becoming a foundational ecosystem layer. The shift mirrors Kubernetes' disruption of cloud-native infrastructure, where a neutral, customizable substrate attracted complementary innovation beyond any single vendor's capacity.
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