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The proposed convention gap is a metric of implicit communication that suggests that convention compatibility, rather than AI-AI performance, may predict an AI's effectiveness with human partners.
Thinking enhances decision-making in LLMs by improving action based on current evidence, but doesn’t drive them to seek more information.