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A unified architecture achieves SOTA embodied AI by jointly learning physical reasoning, world generation, and action prediction, outperforming prior models in generalization and long-horizon tasks.
Static input guardrails remain blind to silent system prompt overrides, but inspecting post-generation latent trajectories catches constraint-violating responses before delivery while slashing false positive rates to under 3%.