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Yeah man they have teams on standby to adjust the model whenever a random unknown author posts something on obscure pre-print servers. Then they spend hundreds of thousands of compute $ to improve the model on that one metric the paper attacks.



Have you tried a similar question with different parameters?

It's pretty easy if you assume people are checking the exact same quote.




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