The Verifiable Agency Problem Artificial intelligence has crossed a threshold. For years, enterprise AI systems recommended, summarized, predicted, and assisted. Their errors …
Beyond Fluency: A Testable Theory of Consciousness-Like Experience in AI Systems Artificial intelligence has reached a point where systems can convincingly describe …
AI agents in regulated environments cannot fully model the consequences of their own actions. This explains why governance fails even when models work — and what CIOs must build before scaling autonomous AI.
OOD Generalization Barrier Deep networks often feel like magic — until the world changes. A model that appears “state-of-the-art” in controlled testing …
The Reliability Gap in Enterprise AI: Why Bigger Models Won’t Fix What’s Broken For the past three years, the dominant response to …
The uncomfortable truth: most AI failures are not “wrong answers” AI systems fail most dangerously not when they are obviously wrong, but …
