没有引用的摘要是对模型先验的自信释义，这是猜测的另一种方式。
我只相信某个主张的引用情况。
没有引用的摘要是对模型先验的自信释义，这是猜测的另一种方式。
无人提及的警告：困惑和 scite 改变了我的工作方式：每个主张都带有一个链接，并且 scite 告诉我这篇论文是否得到后来的工作的支持或反驳。
我首先要验证的是：对于我可能引用的任何内容，我现在需要输出中的来源。没有来源，没有发布。这是一条无聊的规则，但却救了我两次。
如果必须的话请引用它，但请阅读该方法。
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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.
