AI Benchmark Scores Are Misleading: Contamination, Conflicts of Interest, and Narrow Testing Plague Industry Standards
AI benchmark scores are often dangerously misleading, plagued by training data contamination, conflicts of interest, and narrow testing that fails to reflect real-world performance, pushing developers toward building their own evaluations as industry standards struggle to keep pace with rapidly advancing models.