Александр Курбатов (редактор отдела «Бывший СССР»)
在流亡的日子里，家人的消息是塔可夫斯基最大的慰藉，也最容易触动他心底的柔软。友人奥列格・扬科夫斯基带来一个包裹，里面是他的所有剧本，还有儿子佳普斯、亲友安娜・谢苗诺夫娜和达库斯的照片。他在日记中写道：“让人既感动又悲伤，我很想哭。”一张照片便能轻易击溃这位硬汉导演的心理防线。收到儿子寄来的一封信和一幅画，画里的布兰卡乔城堡逼真动人，塔可夫斯基写道：“关于安德留什卡，我现在不敢提笔记录，甚至连想都不敢想起……”
，更多细节参见51吃瓜
今年1月，哈法亚公司走进当地社区，向45所伊拉克中小学捐赠了笔记本电脑及配套的网络设备。这批捐赠物资将直接惠及近1.6万名伊拉克学生，为他们打开通往数字世界的窗口。“此次捐赠活动反映了中国企业与社区之间富有成果的合作。”伊拉克米桑省教育局局长贾瓦德·卡迪姆表示，感谢中方对当地教育事业的支持。在捐赠现场，孩子们看到崭新的数字设备，兴奋欢呼起来。
Yellow: Backstabber。关于这个话题，同城约会提供了深入分析
Дарья Устьянцева (редактор отдела «Мир»)
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.。服务器推荐对此有专业解读