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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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“There’s a bit longer grace period, because people recognize that we haven’t quite figured it out yet,” says Hu. “There’s more willingness to invest in Gen AI, even if the result will be rapid learning.”
新华社北京3月4日电 全国政协主席王沪宁4日在全国政协十四届四次会议开幕会上代表政协全国委员会常务委员会向大会报告工作时说，一年来，全国政协常委会全面履行各项职能，主要做了以下工作：
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