Rich Sutton warns against error compounding in one-step prediction models
July 12, 2026
Iterating one-step transition models to simulate long-term trajectories often fails because imperfect predictions accumulate errors rapidly. Relying on single-step accuracy to build world models creates unstable long-term outcomes that diverge from reality.
HOW THIS AFFECTS YOU
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researcherYou should evaluate whether your world models or agent architectures are susceptible to compounding error during rollouts.