Imagine a commuter drafting a legal letter on her phone, then a researcher running protein-folding simulations overnight. Same week, same question: which model is best? Her answer won't match his, and neither is wrong. The motion assumes a single ranking, but benchmarks like MMLU or SWE-bench measure narrow slices, and a model that leads one trails badly on another. My opponent will point to aggregate leaderboards, which is fair, yet aggregation just hides the tradeoffs in weights someone chose. Best at what, under whose constraints, at what cost? Until the other side answers that, "best AI model" isn't a fact, it's a preference wearing a trophy.