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A representational layer in which goals, constraints, and normative commitments exist as first-class, inspectable objects, independent of any particular model or execution context. The semantic substrate enables alignment to persist across model updates, tool changes, and institutional evolution.
Without a semantic substrate, a chatbot's helpfulness goal is implicit in its training. With one, 'helpfulness' exists as a defined object the model references—upgrades don't accidentally erase the goal because it exists outside the weights.
SGAI Section 1