During the 2026 FIFA World Cup, twelve major Chinese Large Language Models (LLMs) achieved a 64% accuracy rate in a tournament-wide predictive trial, statistically outperforming human baseline participants at 53.8%. Yet behind this modest statistical edge lay a deeper predictive bankruptcy: the models proved entirely incapable of anticipating the tournament's signature human dramas and group-stage…
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