this post was submitted on 28 Jul 2023
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For laymen who might not know how GANs work:
Two AI are developed at the same time. One that generates and one that discriminates. The generator creates a dataset, it gets mixed in with some real data, then that all of that gets fed into the discriminator whose job is to say "fake or not".
Both AI get better at what they do over time. This arms race creates more convincing generated data over time. You know your generator has reached peak performance when its twin discriminator has a 50/50 success rate. It's just guessing at that point.
There literally cannot be a better AI than the twin discriminator at detecting that generator's work. So anyone trying to make tools to detect chatGPT's writing is going to have a very hard time of it.
Fantastically put!
Tx!