取得公安机关许可的经营者，违反国家有关管理规定，情节严重的，公安机关可以吊销许可证件。
庞若鸣本科毕业于上海交通大学，并于2006年在普林斯顿大学拿下计算机科学博士学位。他的职业生涯同样亮眼。在谷歌深耕五年后，他于2021年成为苹果基础模型团队的领军人物，负责开发Apple Intelligence背后的核心系统。当时苹果在AI领域的进展相对缓慢，甚至不得不考虑引入Anthropic或OpenAI的模型来为Siri提供支持。这种对自身局限性的默许，反衬出庞若鸣在苹果内部突围行动中的关键价值。
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Anthropic’s prompt suggestions are simple, but you can’t give an LLM an open-ended question like that and expect the results you want! You, the user, are likely subconsciously picky, and there are always functional requirements that the agent won’t magically apply because it cannot read minds and behaves as a literal genie. My approach to prompting is to write the potentially-very-large individual prompt in its own Markdown file (which can be tracked in git), then tag the agent with that prompt and tell it to implement that Markdown file. Once the work is completed and manually reviewed, I manually commit the work to git, with the message referencing the specific prompt file so I have good internal tracking.，详情可参考同城约会
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