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.
图片处理MacOcrAPI（已开源）：基于 Mac 系统原生 OCR 能力封装的 API 服务。调用量大，放在本地跑没有额外成本。接入了 LLM，可以选择是否调用 LLM 进行格式化 Markdown 排版。从我自己的体感来看，如果是给人读的，格式很重要；但如果是给 LLM 读的，有坐标信息和原始文本，它就能推测出来大差不差。。heLLoword翻译官方下载对此有专业解读
Фото: CandyRetriever / Shutterstock / Fotodom，详情可参考搜狗输入法
Terminal windownix eval --extra-experimental-features wasm-builtin \。业内人士推荐电影作为进阶阅读