Principlev1
Use errors as information signals about gaps between your
Use errors as information signals about gaps between your model and reality rather than as evidence of personal inadequacy.
Why This Is a Principle
Derives from Perception as Predictive Construction (perception minimizes prediction error), The performance of an agent is bounded by the accuracy of (agent performance bounded by model accuracy), and Learning occurs when outcomes differ from predictions, (learning occurs from prediction error). The machine learning section makes this explicit - errors are the teaching signal, not obstacles.