Жители Санкт-Петербурга устроили «крысогон»17:52
愿你们的好奇心，成为这段旅程的燃料。愿它为你们带来源源不断的探索、激动与满足。
公安机关中初次从事治安管理处罚决定法制审核的人员，应当通过国家统一法律职业资格考试取得法律职业资格。。关于这个话题，夫子提供了深入分析
아즈두팔은 자신의 로봇청소기를 플레이스테이션(PS5) 게임패드로 조종하는 프로그램을 제작하기 위해 DJI 서버와의 통신 프로토콜을 분석했다. 이 과정에서 자신의 기기뿐 아니라 전 세계 다수의 로봇청소기가 동일한 서버 요청에 응답하는 현상이 나타났다고 밝혔다.
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圖像加註文字，餐廳允許寵物犬停留在戶外餐桌目前於香港屬「灰色地帶」。兩難選擇？，推荐阅读Line官方版本下载获取更多信息
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.