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可“江湖”的惯性，远比一次功能更新更持久。某二手交易平台上，虚拟商品依旧活跃；新产品推出的“楼层级定位”“更强社交功能”，又在为这个数字小世界增添新的复杂度。这不禁令人思考：当功能性产品在技术的加持下不断强化“社交”属性，谁来为孩子们的“纯粹成长”留一方空间？
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网上有个爆火的视频，是一个小女孩哭着和摔坏的AI机器人聊天，而它教了最后一个单词memory（记忆），评论区说这将成为她羁绊最深的一个词，简直就是电影般的设定。这条视频收获了700多万点赞，也让AI机器人被更多人看到。
The very first thing I did was create a AGENTS.md for Rust by telling Opus 4.5 to port over the Python rules to Rust semantic equivalents. This worked well enough and had the standard Rust idioms: no .clone() to handle lifetimes poorly, no unnecessary .unwrap(), no unsafe code, etc. Although I am not a Rust expert and cannot speak that the agent-generated code is idiomatic Rust, none of the Rust code demoed in this blog post has traces of bad Rust code smell. Most importantly, the agent is instructed to call clippy after each major change, which is Rust’s famous linter that helps keep the code clean, and Opus is good about implementing suggestions from its warnings. My up-to-date Rust AGENTS.md is available here.