The article introduces the Fluidity Index (FI), a new benchmark designed to assess the adaptability of AI models in dynamic environments. It emphasizes the importance of evaluating response accuracy and context switching, with a focus on closed-loop open-ended benchmarks to measure a model's ability to understand and adjust to changing states. The paper posits that a super-intelligent model should demonstrate second-order adaptability for optimal performance.