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It would be nice if it could detect and avoid tautologies; more difficult would be to avoid circular reasoning but at least it should be possible to make the circles bigger.


I was actually surprised by the sentence "bad means something is bad" given that substituting the second "bad" for a synonym is well within NLP models' capability, and you'd expect training processes to eliminate that level of tautology in model outputs.

Then I remembered Github copilot wasn't optimised for natural language, it was optimised for programming, where [near] tautology isn't unusual and variable names aren't supposed to be swapped out...


That’s a good point, I wasn’t thinking of the coding angle despite it being the whole point of the post.




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