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How hard would it be to make an attention management app that a) tracks the links you click b) uses ML to learn clickbaitiness patterns c) rewards you with points for bait you see but DON’T engage with. Basically infer, exactly invert, and neutralize the conditioning protocol.
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Like noise cancellation headphones (which basically pick up noise and add phase in a feedback loop to cancel via simple adaptive control learning) Except in conditioning signal space. Cc:
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You'd have to be careful, because this could act like a GAN to train not only the user, but the clickbait to get past the user's conditioning.