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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.，详情可参考爱思助手下载最新版本
据《卫报》澳大利亚版报道，纳维德·阿克拉姆在袭击前从事砌砖工作。他的同事表示，纳维德性格古怪，“没人和他亲近”。“（砌砖工人）在一起的时间很长，因为砌砖是一项非常枯燥乏味的工作，所以大家会聊很多话。但纳维德是一个性格很古怪的人……他工作非常努力，几乎没有休息日。”
RUN echo VARIANT="QJoly server" && echo VARIANT_ID=com.github.qjoly.bootc-server /usr/lib/os-release