this post was submitted on 01 Nov 2023
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It has to be more sophisticated than that. Otherwise users could easily taint the datasets by giving wrong answers on purpose.
It probably checks your answer against the current model's best guess and if it's close enough, you get a pass and your input is added to the training data for the next iteration. The more wrong you are, the more challenges you get.
I do that and as long as it's not too outlandish it lets me through.