来自湖北的李女士也有类似担忧。她在女儿的电话手表通讯录中发现大量未经实名认证的好友，聊天记录里存在传播擦边图片的群聊，还有陌生人发送的擦边图片内容，甚至收到过陌生人发送的“你不回信息就去死”等言论。经了解，这些陌生人大多通过“同学的同学的同学”层层添加。
However, due to modern LLM postraining paradigms, it’s entirely possible that newer LLMs are specifically RLHF-trained to write better code in Rust despite its relative scarcity. I ran more experiments with Opus 4.5 and using LLMs in Rust on some fun pet projects, and my results were far better than I expected. Here are four such projects:
Дания захотела отказать в убежище украинцам призывного возраста09:44，这一点在91视频中也有详细论述
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const output = Stream.pull(source, compress, encrypt);。业内人士推荐51吃瓜作为进阶阅读
A Foreword on AGENTS.md#One aspect of agents I hadn’t researched but knew was necessary to getting good results from agents was the concept of the AGENTS.md file: a file which can control specific behaviors of the agents such as code formatting. If the file is present in the project root, the agent will automatically read the file and in theory obey all the rules within. This is analogous to system prompts for normal LLM calls and if you’ve been following my writing, I have an unhealthy addiction to highly nuanced system prompts with additional shenanigans such as ALL CAPS for increased adherence to more important rules (yes, that’s still effective). I could not find a good starting point for a Python-oriented AGENTS.md I liked, so I asked Opus 4.5 to make one: