The US reportedly used Anthropic's AI for its attack on Iran, just after banning it

· · 来源:sport资讯

Утро жителей Харькова началось со взрывов08:46

This heuristic can be illustrated by the following design. Let’s say we have an application that generates a report, compresses it with zip, and saves it to the disk. With this heuristic in mind, we wouldn’t want the report generation to depend on the zip algorithm. A change from zip to LZMA algorithm shouldn’t affect the report generation. Likewise, the compression module shouldn’t depend on the file storage module. If we follow that heuristic, we will be able to change file storage to network storage without affecting compression or the report module. (By the way, this design might not be ideal, for instance, these tasks are too small to be modules, but I hope it conveys the meaning of this heuristic).

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If I were to evade AIGC detection, the only ideas I have are fine-tuning an LLM on massive human text or building a giant rule-based lookup table to disrupt SVM-matched features. But obviously, that’s beyond this article. Not sure if it’d work either. Or maybe there are better ways—left as an exercise. Prove it yourself.

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