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.
圖像加註文字,作者在巴黎交換年期間於一所中學工作在將近二十年沒有學習新語言之後,我即將開始學一些中文和葡萄牙語。在六天的時間裡,我每天只會花 30 分鐘完成這些任務與測試。我必須按指示完成,不能提出任何問題,並且等到實驗結束後才會得到回饋。。关于这个话题,搜狗输入法2026提供了深入分析
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The US military mistakenly shot down a Customs and Border Protection (CBP) drone near the Mexican border in a strike that reportedly used a laser-based anti-drone system. The CBP uses drones to track people crossing the border.