Раскрыты подробности о договорных матчах в российском футболе18:01
书中穿插了不少诙谐故事、民俗谚语，调和了学术理论的严谨与抽象。譬如“韩延寿巧断争田案”中的“县官误解风土”，某郡太守向一县官问话：“此地风土如何？”县官不知道“风土”指的是风俗习惯，于是答道：“风不大，土沙也不乱飞。”太守又问：“黎庶还好吗？”县官更不懂“黎庶”指的是老百姓，回答说：“梨树今年开花少，估计要减产。”看似闲笔，实则暗合执法施政必须考察风土民情的道理，让读者在会心一笑中领会中华法系的吏治知识。
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It’s Not AI Psychosis If It Works#Before I wrote my blog post about how I use LLMs, I wrote a tongue-in-cheek blog post titled Can LLMs write better code if you keep asking them to “write better code”? which is exactly as the name suggests. It was an experiment to determine how LLMs interpret the ambiguous command “write better code”: in this case, it was to prioritize making the code more convoluted with more helpful features, but if instead given commands to optimize the code, it did make the code faster successfully albeit at the cost of significant readability. In software engineering, one of the greatest sins is premature optimization, where you sacrifice code readability and thus maintainability to chase performance gains that slow down development time and may not be worth it. Buuuuuuut with agentic coding, we implicitly accept that our interpretation of the code is fuzzy: could agents iteratively applying optimizations for the sole purpose of minimizing benchmark runtime — and therefore faster code in typical use cases if said benchmarks are representative — now actually be a good idea? People complain about how AI-generated code is slow, but if AI can now reliably generate fast code, that changes the debate.
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Гангстер одним ударом расправился с туристом в Таиланде и попал на видео18:08
It's absurd, niche, and deeply online.，更多细节参见heLLoword翻译官方下载