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A language model might be able to write an eloquent poem about a flower or generate instructions on how to plant one. However, ask it to physically plant a flower, and you’ll be met with silence. This stark contrast highlights the limitations of AI agents that are brilliant with language yet disconnected from the physical world. Researchers are addressing this limitation by exploring ways to ground AI agents in reality, integrating memory, reasoning, and action-based learning.

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