Researchers introduced Video-RSI, a framework for recursive self-improvement in video understanding agents. The framework enables agents to revise their own harness using their language model, leading to improved accuracy and efficiency. The approach involves revisiting original training videos, testing competing failure explanations, and determining cost-effective revisions.