X-Games is an informal term that denotes a competitive setup for evaluating the performance of AI models or agents across multiple tasks. This concept often parallels traditional sports competitions, where participants are assessed based on their abilities and skills in various disciplines. In AI, X-Games can involve a series of challenges designed to test different aspects of model performance, such as accuracy, speed, and adaptability. Such competitive environments help researchers and developers benchmark their algorithms, identify strengths and weaknesses, and drive innovation in AI technologies.