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.
Что думаешь? Оцени!
，详情可参考同城约会
Cloudflare Ray ID: 9d687ce079892416
这扇门，曾经是一堵墙。墙东边，两个小区和一个人才公寓中住着几百户居民；墙西边，是公园绿地、社区小店、市民中心。
新国标并未纠结于车门把手是否“隐藏式”，而是要求必须可以机械释放，而且应该具有相应的手部操作空间。相较而言，同样攸关行车安全的车灯控制，是否也应做到至少保留手动机械控制的选项，这是值得慎重考虑的。系统工程界素有“安全冗余”的概念，强调在设备与制度层面设置双重乃至多重防护措施，尤其是在关键系统中保持备用系统或设备的标准配置。车灯、门把手等操纵件事关行车安全，理应留出安全冗余。