程序员的明天:AI 时代下的行业观察与个人思考

· · 来源:ask资讯

Not the day you're after? Here's the solution to yesterday's Connections.

В Финляндии предупредили об опасном шаге ЕС против России09:28

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«Лампа Мафусаила, или Крайняя битва чекистов с масонами. Виктор Пелевин», — отмечено в «Списке печатных изданий, содержащих информационные сообщения и (или) материалы, распространение которых способно нанести вред национальным интересам Республики Беларусь».

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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.,更多细节参见safew官方版本下载

美国工厂的试点证实,类人机器人能够安全地执行精确、重复的工作步骤——如以毫米级精度定位组件,并为物理人工智能在生产中的进一步部署提供了重要见解。