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.
在《我的三观（世界观、价值观、人生观）》这文章里，我讲述了我的世界观、人生观、价值观各是什么，其中只有价值观里，我选择了两个不同的价值观：效益论和义务论，这篇文章里，我将详细讲述为什么我会选择这两个几乎是完全相对立的价值观。，更多细节参见纸飞机下载
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# Build a single backend