One important thing to note about Wi-Fi range extenders (also sometimes called “repeaters”) is that most of them actually create a new Wi-Fi network when rebroadcasting your existing one. That network will have a new name (it’ll often be your default network’s name with an EXT appended at the end, unless you change it) and that means you’ll have to connect to different networks when in different parts of your home. While that’s a small tradeoff in return for improved internet connection, some will be more inconvenienced than others.
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。业内人士推荐同城约会作为进阶阅读
配置方面，荣耀官方预热称，新机将搭载满血第五代骁龙 8 至尊版芯片，并有消息指出其电池容量将达到 7 开头区间，或成为今年电池容量最大的折叠屏手机之一。
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.