A recent paper from Tsinghua University identifies what it calls H-Neurons — a sparse subpopulation of neurons whose activation patterns predict hallucination events in large language models [1]. The finding is real and probably
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
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
People are starting to notice that AI systems become less reliable over time. The term "epistemic drift" is emerging in research circles, often defined as a gradual shift away from truth-seeking
