For many years, the evaluation of artificial intelligence has centered on whether machines can outshine human capabilities. From chess to complex mathematics, and from programming to essay composition, AI systems have been pitted against human performers in various tasks. This approach, while captivating, often reduces the complexity of intelligence to isolated challenges with easily measurable outcomes. However, as AI continues to evolve, this framework may be outdated. It's time to explore new metrics that better reflect the capabilities and potential of AI, moving beyond simple comparisons to embrace a more holistic understanding of machine intelligence.