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Current AI agents only manage to complete 20.6% of complex real-world tasks, revealing a stark gap in their capabilities compared to human users.
Current LLMs often overfit and fail to leverage past knowledge, with naive in-context learning outperforming dedicated memory systems in continual learning tasks.