Large Language Models (LLMs) function as averaging machines, consistently producing the most probable outcome for any given input. This means that for every creative decision delegated to an LLM, the model will default to the most average or common answer. This tendency limits their capacity for genuine novelty and highlights a trade-off between convenience and creative output. AI
IMPACT Highlights the inherent limitations of LLMs in generating novel or creative outputs, suggesting a trade-off for users.
RANK_REASON Opinion piece discussing the fundamental nature of LLMs as averaging machines.
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