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When AI language models generate data, they rely on the statistical distribution of training corpora and tend to produce the most common samples, naturally avoiding low-frequency but critical edge cases (such as overly long strings, special Unicode characters, cross-timezone timestamp boundaries, and numeric overflow).
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9/16/2026
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