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.
A trailer for the two games revealed the three new starter Pokémon: Browt, Pombon and Gecqua. As suggested by their colors and environments they’re shown in, they are grass, fire and water types, respectively. Other Pokémon that were featured include Pikachu (sporting fetching beachwear) and Oddish. The trailer, which reveals a new region for the series, ends by taking us into the ocean to gawk at an number of water Pokémon.
，这一点在heLLoword翻译官方下载中也有详细论述
Yuichiro Chino/Moment via Getty ImagesFollow ZDNET: Add us as a preferred source on Google.，详情可参考WPS下载最新地址
（本报记者赵成、吴丹、朱隽、王昊男、侯琳良、杨文明、王云娜、刘军国、李心萍、寇江泽、李林蔚、常钦、刘新吾、郑洋洋、李俊杰）