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Hybrid architectures that combine attention and recurrence can maintain reasoning performance as task complexity increases, while transformers see a sharp performance drop-off.
LLMs' apparent Theory of Mind evaporates when tasks are slightly perturbed, and Chain-of-Thought prompting, surprisingly, can make things worse.
