Principlev1
Use stable paradoxes as boundary detectors that reveal where
Use stable paradoxes as boundary detectors that reveal where your models end and where reality's complexity exceeds your current framework's capacity.
Why This Is a Principle
Grounded in No Direct Access to Reality (no direct access to reality), The performance of an agent is bounded by the accuracy of (performance bounded by world model accuracy), and Brain as Hierarchical Prediction Machine (prediction machine). This prescribes a DIAGNOSTIC USE: treat paradoxes as information about model limits. It's derived and actionable across domains.