自动化抓住了显而易见的事情，错过了微妙的事情，甚至一度发送了错误的回复。里面的教训。
我连接了一个自动化设备来对我的收件箱进行分类，并做好了应对灾难的准备。基本上都很好。
它完美地捕捉到新闻通讯和收据。它错误地发送了一封看似垃圾邮件的客户电子邮件。
我对发送的所有内容进行人工审核，而不仅仅是排序。这条规则救了我。
节省的时间是真实的，但必须赢得每个类别的信任，而不是一次性授予。
人工智能收件箱管理充当过滤器，而不是秘书。让发送按钮保持人性化。
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人工智能工具太多？这是找到您真正需要的东西的更好方法
If you only check AI news on weekends, this was the weekend to check. The theme was not a bigger model, it was models that do a specific job well enough to hand them the keys.
A model that finds vulnerabilities but refuses to step outside authorized scope is not just a better scanner. It is the first time the powerful exploit-finder has been gated to the people who already had permission to look.
