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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.。业内人士推荐im钱包官方下载作为进阶阅读
，这一点在WPS官方版本下载中也有详细论述
// Synchronously enqueue — this never applies backpressure，这一点在搜狗输入法2026中也有详细论述
在此背景下，《费率支付者保护承诺》应运而生。它的逻辑非常直白：谁用能，谁投资；谁耗电，谁负责。科技公司不能再把电网当作“免费公共资源”，必须把电力成本内部化。