AnalysisAI ModelsNovember 9, 2026

Modal's Jason Mancuso: RL for agent models is now practical

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Mancuso argues teams with agents in production already hold the ingredients for reinforcement learning — a harness, evals, and real traces — making RL training of their own agent models practical. He contends RL generalizes better than fine-tuning on recorded traces, and that treating models as swappable backends is a losing strategy.

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