A few weeks back, a post from a founder on X made the rounds on LinkedIn. A general counsel had tested Anthropic’s Claude for contract review, and the AI had pulled information from Wikipedia.
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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Пьяный турист нанес тяжелую травму участвовавшей в Олимпиаде сноубордистке20:38。体育直播对此有专业解读
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Владислав Китов (редактор отдела Мир)