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.
Later, he described Robbie Williams as having "more comebacks than his hairline", and said Shaun Ryder and Bez had "aged like service station flowers".
。体育直播对此有专业解读
RouteConstants.InventoryQuestsV1.AcceptQuest
20:31, 4 марта 2026Мир