Anthropic's recent paper "The Hot Mess of AI: How Does Misalignment Scale with Model Intelligence and Task Complexity?" makes an important empirical observation: frontier models show increasing output variance
Standard evaluations tell you whether your AI system performs. They don’t tell you whether it still knows what it’s talking about.
The distinction matters because performance and epistemic reliability can decouple
Why AI Governance Frameworks and Generative AI Are Fundamentally Incompatible
The Scenario
You're eight months into deploying an AI system for clinical decision support. Internal reviews are passed, you decided not
(And they don’t know it)
You deployed an AI system six months ago. It performed well in validation. Your vendor provided documentation showing 94% accuracy on test data. Your compliance team signed
Executive Summary
A mid-sized organization deployed a data security platform with an AI-powered chatbot interface to manage sensitive data controls. The team relied on the chatbot to configure critical security policies. For months,
