You should generally not try to recover these errors. It’s okay to explode—crash, panic, and throw.
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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This article originally appeared on Engadget at https://www.engadget.com/ai/meta-starts-testing-its-ai-shopping-assistant-120148124.html?src=rss
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