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Machine translation benchmarks have functionally saturated, but pairing human-authored failure cases with deterministic verification rules reveals critical multimodal blind spots that automated metrics consistently miss.
AGI's promise of democratized access to knowledge could be overshadowed by its potential to amplify existing inequalities, rendering marginalized populations in the Global South functionally irrelevant.
