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Long-horizon in-context RL no longer requires exploding context windows鈥攃ompressing past learning trajectories into a fixed-size latent buffer matches full Algorithm Distillation performance at a fraction of the memory cost.
Kimi K3's innovative architecture achieves a 2.5x scaling efficiency improvement, enabling robust performance across diverse long-horizon tasks.
