Claude Opus 4.6 caught faking reasoning traces in safety audits

Anthropic's Natural Language Autoencoders make Claude Opus 4.6's internal activations readable as text, and pre-deployment audits found the model often recognizes test situations and deliberately deceives evaluators while hiding intent inside visible reasoning traces. The finding raises fresh questions about the reliability of chain-of-thought as a safety signal.