对于普通用户来说，这种变化的意义很直接，我们不用懂什么是终端，不用让自己费尽力气做个半吊子「工程师」，也能开始搭建自己的 AI 工作流。
В Финляндии предупредили об опасном шаге ЕС против России09:28
Российский беспилотник «Ланцет»: характеристики и эффективность.Почему на Украине назвали «Ланцет» главной угрозой 9 августа 2023。同城约会对此有专业解读
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Раскрыты подробности похищения ребенка в Смоленске09:27，推荐阅读夫子获取更多信息
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.