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AI detectors are increasingly unreliable. As generative AI becomes more natural and nuanced, these tools struggle with false positives and false negatives, sometimes flagging human work as AI, and missing AI entirely. 

In this episode, I explore why detectors are breaking down, how non-native speakers are disproportionately affected, and why the real solution may be moving from a culture of detection to one of disclosure instead. 

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