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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系统新增了对 Google Workspace、DocuSign 等平台的核心级原生接入，并率先打通了微软生态的跨应用协同——Claude 现可直接提取 Excel 中的底层数据，自动化分析并生成完整的 PPT。，详情可参考搜狗输入法2026
换言之，虽然城乡、年龄间存在AI使用鸿沟，但高龄老人一旦开始使用AI，黏性却更大、频次更高，同样，农村地区老人一旦开始使用AI，高活用户占比反而也更高。
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