Alibaba's Qwen research team published new findings today on a system called AgentWorld, which explores using language models as world models for AI agents. Rather than relying on separate vision or physics models, the approach harnesses language representations to help agents reason about and plan actions in complex environments. This could be a step toward developing more general-purpose and adaptable AI agents.

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