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Local AI Is Being Treated as Infrastructure, Not Ideology
Open source AI users are turning local model stacks into ordinary work systems, moving the debate from access to operational control.
The institutional consequence is that 'open' is being redefined by deployability. A Spring AI example matters because it shows local models entering typed application paths [1], while projects such as an autonomous multi-agent SOC powered by local LLMs place Ollama inside security workflows rather than demo culture. That framing rewards projects that make local execution boring, repeatable, and auditable; it punishes open source rhetoric that cannot survive contact with production habits.