AI Text Detectors Exposed: Perplexity Tricks and Burstiness Busts That Don't Hold Up
Picture this: You pour your soul into a blog post, hit publish, and bam — GPTZero screams 'AI-generated.' But under the hood? Just some dusty stats from the '90s, repackaged for the LLM hype machine.
⚡ Key Takeaways
- AI detectors rely on perplexity (predictability) and burstiness (variance), but false positives plague non-native English. 𝕏
- Classifiers like RoBERTa add nuance yet inherit training biases, mirroring failed '90s spam filters. 𝕏
- Arms race ahead: Generators evade easily; ditch detectors for process-based checks. 𝕏
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Originally reported by dev.to
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