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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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OpenAI宣布获得新融资1100亿美元，其中300亿美元来自软银，300亿美元来自英伟达，500亿美元来自亚马逊，投前估值7300亿美元。OpenAI称，公司还与亚马逊签署了战略合作伙伴关系，并与英伟达签订了关于下一代推理计算的协议。随着这轮融资的进行，预计后续还会有更多金融投资者加入。（第一财经），推荐阅读搜狗输入法2026获取更多信息
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