自动化电子邮件听起来就像一个梦想，直到人工智能决定什么是重要的，而你却错过了一件重要的事情。
我连接了 Fireflies 和过滤规则，以按紧急程度预先标记我的收件箱。一周以来，一切都很棒——噪音消失了，我首先回答了真实的问题。
然后，它将客户礼貌但紧急的便条标记为低优先级，因为它缺少警报词。我差一点就错过了最后期限。从技术上讲，人工智能对语气的判断是正确的，但对赌注的判断却完全错误。
修复并不是一个更好的模型。这是第二条人性化的规则：来自已知发件人且带有日期的任何内容都会插队。机器处理体积；我负责判断。
自动化排序，而不是决策。这条线就是这些东西不再提供帮助并开始危及你的工作的地方。
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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.
