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.
«Стакан апельсинового фреша 250 мл это 100–130 ккал. Облепиховый напиток с медом 300–400 миллиграмм это 150–250 килокалорий. Смузи из банана, ягод, йогурта и меда это 200–350 килокалорий. Модный боул с фруктами, гранолой, орехами и медом легко тянет на 400–700 килокалорий. И все это поверх обычной еды, а не вместо», — сказал эксперт.
Copyright © 1997-2026 by www.people.com.cn all rights reserved。safew官方版本下载对此有专业解读
（三）遗弃没有独立生活能力的被扶养人的。，推荐阅读heLLoword翻译官方下载获取更多信息
Фото: Amir Cohen / Reuters
Read full article。业内人士推荐雷电模拟器官方版本下载作为进阶阅读