Hallucination

When Models Make Things Up
Hallucination Is Not One Thing
Evidence, Truth, and Verifiability
How Do You Measure a Hallucination?
Hallucination Energy
How to Evaluate a Hallucination Detector
Breaking the Detector
Containment Is Not Truth
Beyond Hallucination: Consistency and Sensitivity
The Safe but Useless Model
Knowing When Not to Answer
From Measurements to Policy
Verification, Repair, and Rejection
The Memory Contamination Problem
Building Systems That Distrust Their Models
Appendix: The Evidence Ledger
Warranted Search: When AI Must Prove Before It Looks
Beyond Hallucination Energy: A Three-Dimensional Framework for Reliable AI Outputs
Applied Policy: How to incorporate Policy and Hallucination in self-improving system
Hallucination Energy: A Geometric Foundation for Policy-Bounded AI
From Evidence to Verifiability: Rebuilding Trust in AI Outputs 🔏
✨ TINY CRITICS: Lightweight Reasoning Checks for Large AI Systems
Search–Solve–Prove: building a place for thoughts to develop