14:51, 27 февраля 2026Бывший СССР
BBC波斯語部對官方數據的分析顯示，過去20年，以實質購買力計的家庭年均支出在城市下降1/4，在鄉村幾乎減半。換言之，伊朗人平均比20年前更為貧困。
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我犯了几个致命的错误：比如，以为设置了手机安全屏障就万事大吉了，忽略了最根本的——人的心理。我只是警告母亲“那是骗子”，却没有耐心去理解她为何会相信，没有用她能接受的方式讲清骗局的原理。我的干涉，反而让她觉得我不尊重她，把她当小孩，从而在骗子要求“保密”时，更倾向于听从所谓“权威”的警察，而非自己“不客气”的儿子。
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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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