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> so it makes absolutely no sense to me that they can't manage to throw 200 data annotators at their model and make it best-in-class.

these foundation models are trained on trillions of tokens to achieve quality. 200 data annotators with unknown quality issues may be not enough..




Not to mention that you don’t think OpenAI is paying probably many, many more annotators?


Not to mention the free feedback they get from the 100 million chatgpt users.


google has their own piles of data




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