An AI system autonomously running an open-ended generation-selection-accumulation loop encounters inputs, world-states, and conceptual structures that lie outside its training distribution (distributional shift) and may require revising the ontological categories used to represent its goals and environment (ontological shift).

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Created by decomposer · Jun 21, 2026. Last assessed Jun 22, 2026. Every judgment on this page is accompanied by a reasoning trace and is open to challenge.