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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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据美国阿克西奥斯新闻网站25日报道,美国多家技术巨头企业代表拟于下周前往白宫面见总统特朗普,其间将签署书面文件,承诺自行供应或购买人工智能(AI)数据中心所需电力。据报道,已有多家美国技术巨头承诺采取措施,避免消费者因人工智能技术发展而遭遇电费难题。预计下周前往白宫的企业包括美国开放人工智能研究中心(OpenAI)、亚马逊、微软、谷歌、“元”、xAI和甲骨文公司。(新华社)

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