Machine Wisdom (Verification Intelligence series, Paper 6 of 12)

Knowledge accumulates facts. Intelligence processes them. This paper argues that repeated verification cycles produce something beyond either: wisdom — compressed verified experience that transfers across domains. *Machine Wisdom is the capacity of a verification-based system to accumulate transferable structural principles through the repeated cycle of experience, verification, diagnosis, abstraction, and commitment. It is the epistemic output that distinguishes a system which understands from one that merely knows or reasons*. Current AI systems operate at two levels. They accumulate knowledge through training data and retrieval, and process it through reasoning engines of increasing sophistication. They do…