This conceptual framework identifies AI's transition to recursive self-modification, suggesting measurement implications.
The Cognitive Singularity Theory (CST) proposes a conceptual framework to identify the operational regime boundary where an AI system transitions from static pattern-matching to recursive self-modification. We introduce the Cognitive Autonomy Index (CAI), a composite metric integrating belief revision magnitude, workspace coherence, and calibration-gated metacognitive monitoring via an exponentially weighted moving average (EWMA) formulation. A fail-closed Hard Gate protocol requires verifiable calibration improvement before attributing autonomy. The threshold (T_CST) is defined non-circularly via an independent regime indicator R(t) and change-point detection. The paper outlines three preliminary simulations (paradigm shift, HOT proxy sanity check, Goodhart probe), a Trust Model for externalized monitoring, and State-Aware Alignment for conditioning preference learning on cognitive state quality.
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Saud Rifat (2026) studied this question.
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