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University of Southern California
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AI agents can now generate and verify complex 3D worlds using executable code, outperforming leading models in human preference studies.
Transformer context for in-context RL can be compressed to the Krylov dimension, revealing a $Θ(γ^m)$ decay in approximation error below this threshold.