2024年12月23日 星期一 新京报
Andrew enjoys the outdoors
，这一点在同城约会中也有详细论述
63-летняя Деми Мур вышла в свет с неожиданной стрижкой17:54
豆包手机回应存在安全漏洞：针对视频演示的攻击方法，豆包手机助手已升级了相应的防护措施
。Line官方版本下载对此有专业解读
Natural Neighbour Interpolation。一键获取谷歌浏览器下载对此有专业解读
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.