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.
I remember Steve Holden at some point standing up during a plenary session, I think, and sort of telling the people on stage, maybe it was just me, maybe it was a bunch of core devs, that Python was changing too fast and that we had to somehow
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新签约超30个项目，同比增长88%。
特朗普週六早些時候在接受美國全國廣播公司（NBC）採訪時談到伊朗時說：「他們遲早會打電話問我，我想要誰當領導人。我這麼說只是略帶諷刺。」
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В России предупредили о скорой нехватке вагонов08:46
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