Critics Argue That Making AI Text More Human-Like Is Misguided

A Hacker News post contends that efforts to humanize large language model outputs are counterproductive, often adding unnecessary fluff and reducing clarity. The author argues for prioritizing factual precision and transparency over conversational mimicry. This highlights an ongoing debate in the AI community about the true purpose of generated text.

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