Man who entered Manchester mosque with axe also took zip ties and balaclava, court hears

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比如前面提到的老年人的AI玩具,实际关注的不仅是银发人群本身,更是整个适老化市场。据称唠唠鹰的研发阶段,负责场景需求调研的团队先后走访了全国20余座城市,收集了5000余名不同年龄段、教育背景的老年用户的反馈。这些真实的反馈能够帮团队更加精准地锁定老龄化场景痛点,比如部分农村网络稳定性差,就优化相应的内容缓存功能,再比如更慢的语速、更简化的按键操作等等。

Why fake AI videos of UK urban decline are taking over social media

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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:

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