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Compounding error in video generation is linked to representational degradation, and a simple regularization technique can dramatically enhance long-term stability.
Current AI incident databases can't quantify real-world risk because they lack data on how often risky systems are deployed and how frequently incidents are reported, leaving us flying blind on AI safety.
