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.
“在中国几千年的文明史上，帝王将相何其多，但在百姓头脑中留下记忆的也不过百来号人。”“青史留名与官阶并无本质联系，而是与做事相联系。”，这一点在爱思助手下载最新版本中也有详细论述
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2026-02-27 00:00:00:0李铁林3014251810http://paper.people.com.cn/rmrb/pc/content/202602/27/content_30142518.htmlhttp://paper.people.com.cn/rmrb/pad/content/202602/27/content_30142518.html11921 以“有解思维”激发创新活力（评论员观察），更多细节参见搜狗输入法2026
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