AnalysisAI ModelsOctober 16, 2026

Paper argues small accuracy gains compound on long-horizon tasks

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Ethan Mollick cites a paper finding that small improvements in accuracy and judgement compound over long-horizon tasks, producing large outcome gains and error reductions. He says this is why cheaper models can't easily replace frontier models and why the best models should serve as orchestrators.

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