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by londons_explore
812 days ago
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With AI you can do millions of tests. Some tests are easy by chance (eg. "Please multiply this list of numbers by zero"). Some tests are correct by chance alone, easy or hard. When you actually do these millions of tests, I don't think it really matters what the exact success metric is - an AI which is 'closer to correct, but still wrong' on one test will still get more tests correct overall on the dataset of millions of tests. |
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