被生活打压的年轻人，热衷于从食物身上找回掌控感——冰箱，就成了这届年轻人下班回家的“多巴胺补给站”。你家的冷冻层，是不是也塞满了牛排虾仁等集中购买的高级食材？你是否会周末做一顿，一吃吃一周？你会固定周末食材大采购，顺便在冰箱里塞满甜品和精酿啤酒吗？你的冰箱是否存在容量不足、食材串味等各种烦恼？欢迎参与“2025年轻人冰箱使用习惯”小调查，一起聊聊你的冰箱使用习惯与问题。
Известный российский блогер и дизайнер Артемий Лебедев рассказал, что однажды обратился в полицию Черногории из-за обмана с арендой жилья. В беседе с адвокатом Калоем Ахильговым, запись которой вышла во «ВКонтакте», он назвал арендодателя мошенником.
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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.