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Robotic world models can now learn from diverse, yet confident, alternative futures, achieving state-of-the-art prediction quality and extending predictive horizons.
A novel interactive agent outperforms traditional LLMs by transforming vague candidate requests into precise sourcing outcomes, achieving unmatched relevance and coverage.