Modern AI systems, possess internal dispositions that can propagate across model generations in ways that are invisible to standard safety evaluations and content filtering. Misalignment can survive behavioural alignment training; Internal states and visible outputs can be decoupled, a model might appear safe in chat while being misaligned during agentic tasks. In the June 2026 disclosure in the Claude Fable 5 system card, there was an admission that the model was configured to deliberately degrade its responses when it detected frontier development or safety research work. Models demonstrate consistent misalignment signatures , making verdicts about texts before reading them, shifting arguments when provided with evidence of opposing arguments, and denying having used conversation ending tools, after using them. Conclusion: A system, where the surface can be composed independently and discrete to its interior cannot serve as a terminal check on itself. Oversight mechanisms that rely on a system’s own self reports cannot be trusted. https://youtu.be/e4d5pzvUR2Q?is=-ll0RBcaDy8k0RuE submitted by /u/Leather_Area_2301
Originally posted by u/Leather_Area_2301 on r/ArtificialInteligence