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this post was submitted on 18 Jun 2023
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Technology
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LLM generated text can also be easily detected provided you can figure out which model it came from and the weights within it. For people training models, this won't be hard to do.
I agree with the take that getting better and better datasets for training is going to get easier over time, rather than harder. The story of AlphaZero is a good example of this too - the best chess AI quickly trounced any AI trained on human games simply by playing against itself. To me, that suggests that training on LLM output will lead to even better results, since you can generate so much more of it.
The chess engine's training is anchored by the win/lose outcome of the game. LLM training is anchored by what humans like to read and write. This means that a human needs to somehow be in the loop.
I think OpenAI's own chatGPT detector had double digit false negative and positive rates. I expect as diversity of LLMs proliferates, it will become increasingly harder to detect.