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I bet a lot of people would get away with it, too. These generated texts are often just convincing enough to make you think they would make sense if you were less tired/distracted/whatever. A teacher in a rush or at the end of the day could easily be fooled (especially considering the quality of many human-generated term papers).

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Now we need an equivalent of a "deepfake recognizer" for these sort of generated texts, to distinguish texts with some sort of coherent meaning from texts without.

As a bonus, such a model could be used in a word-processor to redline places where a human writer has written a lot without saying much.

If you have that, you can use it to train the next AI.

Especially when English isn’t your first language

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