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HASTE introduces a hierarchical multi-agent system for ML engineering that organizes cross-competition knowledge into three tiers, achieving 77.3% medal rate on MLE-Bench Lite while reducing compute by 52% and demonstrating that structured knowledge transfer outperforms flat memory approaches.