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I see, so the idea is that enough of the quantization errors are sort of averaged out across the dimensions of the vector space to still be useful?

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The way I think about it is finally it will end in a binary feature vector similar to 20Questions (male or female, alive or dead ...) just with 100s of dimensions

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