A language model can be understood as a frustrated physical system that interpolates missing information or violates constraints when faced with contradictory data. When multiple such models are interconnected, they can enter one of three regimes: relief of frustration, amplification of frustration, or freezing into a metastable state. An experiment involving a synthetic game of telephone with language models revealed that frustration is a property of the communication channel itself, with the final model in a chain bearing the visible brunt of accumulated ambiguity and contradictions from earlier nodes. AI
IMPACT Interconnected language models can amplify errors and ambiguities, suggesting that the architecture and communication protocols between agents are critical for reliable AI systems.
RANK_REASON The item discusses a research experiment and its findings regarding the behavior of interconnected language models. [lever_c_demoted from research: ic=1 ai=1.0]
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