Testing and proof are complementary. Testing, including property-based testing and fuzzing, is powerful: it catches bugs quickly, cheaply, and often in surprising ways. But testing provides confidence. Proof provides a guarantee. The difference matters, and it is hard to quantify how high the confidence from testing actually is. Software can be accompanied by proofs of its correctness, proofs that a machine checks mechanically, with no room for error. When AI makes proof cheap, it becomes the stronger path: one proof covers every possible input, every edge case, every interleaving. A verified cryptographic library is not better engineering. It is a mathematical guarantee.
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当游客置身于陌生情境中，既有的生活经验与行为模式会出现偏差，导致风险感知出现盲区。由于缺乏对当地环境特性的深度认知，游客难以准确识别潜在危险，也无法做出符合当地实际情况的安全决策，从而提高了事故发生的概率。
So, despite the half-joking title, I think it is actually fine to accept user-supplied code. Be careful though.