A 400 000-character list of place names, including some capitalised ones, separated by the OR operator (|). This pattern was surprisingly common and constituted most of the ludicrously long regexes, with topics ranging from nouns to TLDs or entire domains. I pity the poor web browser that has to parse them. That regex is long enough to smash Python's default maximum limit on column widths in CSV, which unlocked a nice detour for me. Python, why are you like this?
At the Lean FRO, Kim Morrison, a Senior Research Software Engineer, recently ran an experiment that went well beyond our expectations. An AI agent converted zlib, a widely used C compression library embedded in countless systems, to Lean, with minimal human guidance. No special tooling was built. It was Claude, a general-purpose AI, with no special training for theorem proving, out of the box. The workflow had four steps. First, the AI produced a clean, readable Lean implementation of the zlib compression format, including the DEFLATE algorithm at its core. Second, the Lean version passed the library’s existing test suite, confirming behavioral equivalence. Third, key properties were stated and proved, not as tests, but as mathematical theorems. The capstone theorem:
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alphaXiv Toggle，推荐阅读PDF资料获取更多信息
Startups Weekly，详情可参考51吃瓜