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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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Feeling squeezed by the new global climate where Might is Right, or at least Might takes centre stage, the family of nations for European cooperation is widening. But so is the challenge to understand what makes each family member tick, and whether they can work together effectively.
14:15, 3 марта 2026Экономика
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