“It was really disheartening to see,” deHoop said. “I think it definitely came across as that the women’s team is an afterthought, and I think women’s sports has been in this position too many times where the women have to play second fiddle and are being treated as kind of second-class citizens.”
Weakest Weak Strong Strongest Strong*
，详情可参考雷电模拟器官方版本下载
「在這次大會上，比爾坦率發言，對多項問題做出詳細回應，並為自己的行動負起責任。」
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.