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
Constitutional AI: Progress Without Resolution
The recent surge in Constitutional AI discourse reflects genuine progress. It also reflects a misunderstanding of what progress has been made.
Constitutional AI improves on pure RLHF by
(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
