Coherence under Constraint

I’ve been running some small experiments forcing LLMs into contradictions they can’t resolve. What surprised me wasn’t that they fail - it’s how differently they fail. Rough pattern I’m seeing: Behavior ChatGPT Gemini Claude Detects contradiction ✔ ✔ ✔ Refusal timing Late Never Early Produces answer anyway ✘ ✔ ✘ Reframes contradiction ✘ ✔ ✘ Detects adversarial setup ✘ ✘ ✔ Maintains epistemic framing Medium High Very High Curious if others have seen similar behavior, or if this lines up with existing work. submitted by /u/BorgAdjacent [link] [comments.