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Joined 1 year ago
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Cake day: July 18th, 2023

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  • That’s a weak defense of the season. The thing that made a lot of the classic episodes classics is that they are more or less timeless. If releasing the episode a year or two later means it’s not going to land well, then they should be rethinking the writing.

    A great example is the iPhone episode. Its a bad episode because the premise was hardly interesting even when it was relevant, and it hasn’t aged well at all.







  • So the issue is not that they don’t have diverse training data, the issue is that not all things get equal representation. So their trained model will have biases to produce a white person when you ask generically for a “person”. To prevent it from always spitting out a white person when someone prompts the model for a generic person, they inject additional words into the prompt, like “racially ambiguous”. Therefore it occasionally encourages/forces more diversity in the results. The issue is that these models are too complex for these kinds of approaches to work seamlessly.