一首《念奴娇·追思焦裕禄》传诵至今，“百姓谁不爱好官？把泪焦桐成雨”，诉不尽鱼水深情的千钧分量；而民间那句俗语——“当官不为民做主，不如回家卖红薯”，又如一记警钟，时常敲在广大党员干部的心头。
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谷歌近日发布了2025年度热搜排行榜，人工智能技术突破、体育赛事对决与知名公众人物成为备受关注的话题，展现了全球民众当下关注的信息动态、文化趋势与各类关切。，推荐阅读Line官方版本下载获取更多信息
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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.