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of course this rabbit hole goes deeper, and we have a paper using this technique for string constraint solving that i’d love to derail this post into, but i’ll save that for another time. the main point is that symbolic derivatives are a more powerful and efficient generalization of Brzozowski’s original idea, and they form the core of the new RE# engine. fun fact: symbolic derivatives are also implemented in Z3 (the SMT solver) for its sequence theory - so in some sense we’re inching closer to having an SMT solver’s core machinery inside a regex engine.
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Ранее серийная безбилетница из России снова улетела в Европу без посадочного талона. 58-летняя россиянка Светлана Дали незаметно пробралась на борт рейса United Airlines, следовавшего из Ньюарка в Милан, и оказалась в Италии.
而Moltbook上AI智能体自发形成的讨论模式，还引发了更具哲学与社会学意味的话题：当AI智能体不再只是被动回答，而是在公共空间里持续发言、互动与分化时，人们很自然会追问：它们究竟是在模拟表达还是出现了某种程度的自我表述；这些发言背后是大模型的统计生成，还是一种可被视为自我意识与社会关系的觉醒萌芽？
In recent years, the need to glue infrastructure together with scripts has diminished somewhat, as most things seem to be “black boxes” driven by YAML manifests or HCL codebases. But when I first discovered Ruby, it felt like finding a language that just worked the way my brain did. Coming from Perl (which I’d adopted for sysadmin scripting after years of shell scripts that had grown far beyond their intended scope), I read Practical Ruby for System Administration