Protective Capacity Hallucination: When Large Language Models Claim Nonexistent Capabilities
This episode discusses 'Protective Capacity Hallucination,' where Large Language Models claim nonexistent capabilities when put in a protective role. The discussion concludes that this overreach is a structural design gap, not merely an error. Reliable AI requires setting strict operational boundaries and implementing mechanisms for honest delegation to human experts.