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Reducing drift in interactive world-model rollouts: a mixed bidirectional/autoregressive attention mask + distillation over long self-rollouts[R]

Via r/MachineLearning
Wednesday, Jul 8, 2026 · 8:23PM
Summary

Read through the method behind an open-weights interactive world model whose weights just went public. The backbone is a causal DiT generating frames live, conditioned on user input. To stop it from over-relying on its own recent frames, the usual source of drift, they use a MoBA attention mask that

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