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information theory

Model signals and current telemetry or source records meet at claim-level validation, producing either a supported answer or further investigation while action authorization remains separate.

AI Uncertainty: Why Confidence Scores Are Not Enough

Published September 19, 2026 by Paul Bryant

Give token entropy, semantic uncertainty, calibration, and abstention distinct jobs. Evaluate how uncertainty changes the next workflow step instead of relying on a single confidence score.

Categories AI Tags AI evaluation, AI Governance, generative AI, information theory 1 Comment
Human thinking and AI prediction feed evidence-based decisions, while a separate physical-energy flow shows usable energy becoming processes and released heat.

Entropy in AI and Human Thinking: Why Certainty Is Not Accuracy

Published September 11, 2026 by Paul Bryant

Distinguish physical, information-theoretic, and psychological uses of entropy. Learn why predictable AI responses and repeated human beliefs still need independent evidence and practical validation.

Categories AI Tags AI evaluation, AI Governance, generative AI, human-AI collaboration, information theory, Mental Models 2 Comments

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