Early in October, I took a red-eye flight from New York to Santiago, Chile. I’d been reading a website called Turbli, run by a turbulence-obsessed engineer in Stockholm named Ignacio Gallego-Marcos, who has a Ph.D. in fluid dynamics. Gallego-Marcos had gone through a year’s worth of forecasts from NOAA and the Met Office—the U.K.’s national weather service—and combined them with flight-tracking data from around the globe. In 2025, he concluded, three of the five bumpiest flight routes in the world flew into Santiago.
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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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МИД России вызвал посла Нидерландов20:44
Мужчина скрывался всю жизнь, боясь обращаться к властям. Только в преклонном возрасте он решился получить российский паспорт.，更多细节参见快连下载安装