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Researchers from the University of Virginia, Microsoft Research, and Tsinghua University recently developed forecasting software to help AI agents anticipate errors before testing modifications. Published on arXiv in 2026, the system achieved a median success rate of 30% on 166 programming tasks, outperforming HyperAgents at 22%.
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