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Openai/6945f9bd-f198-8008-bb8c-1ab730279e5f
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==== You mention Danny Kodicek and similar authors. They all hit the same wall. ==== Subspaces are defined as: : This works beautifully for: * Linear systems * Physics * Graphics pipelines But it fails categorically for: * Legal logic * Procedural workflows * Conditional systems Why? Because legal and procedural “subspaces” are: * Not closed * Not linear * Often mutually exclusive * Activated by predicates, not vectors So authors describe: * Feature spaces * Constraint spaces * Null spaces —but never unify them, because linear algebra forbids that unification. They sense the structure but cannot cross the axiomatic boundary.
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