Predicting the Future? Elon Musk's "Ultimate Test Question" for AI

When Elon Musk says "Predicting the future is the best measure of an agent's intelligence," what comes to mind isn't a sci-fi movie but a college entrance exam—except this time, the examinee isn't human but AI. Predicting the future sounds mystical, but it's actually very practical. Investment requires prediction, autonomous driving needs prediction, rocket recovery demands prediction—every step is a battle against "the next few seconds."
Here's the question: Is being accurate in prediction truly a sign of intelligence? If an agent can predict tomorrow's rain based on data, it's an excellent statistician; but if it can preemptively forecast market sentiment shifts, it starts to feel like a "financial Zhuge Liang." The key difference is—does it understand causality, or is it just applying formulas?
Elon Musk's logic is quite engineer-like: the world is fundamentally a physical system. As long as computing power is sufficient and models are good enough, the future isn't mysticism but probability. The stronger the prediction ability, the deeper the understanding of the world's structure. But in reality, the world isn't just physics—there are emotions, politics, and black swans.
So, it's okay to treat prediction as a standard, but don't forget: true wisdom isn't just about looking far ahead; it's also knowing when the future is unpredictable. An agent that can say "I don't know" might be smarter than one that dares to predict everything.