Current benchmarks often fail to measure how AI models handle long-term, uncertain decision-making scenarios where feedback is delayed and information remains incomplete. Exploring practical decision-making capabilities provides a more rigorous and honest assessment of machine reasoning than standard question-and-answer tests.