Ethan Mollick@emollick · X63
AI 摘要
Ethan Mollick 引用 @YekyungKim 的研究指出，AI 正日益塑造从报纸评论到 NeurIPS 立场论文的长篇公共话语，但看似流畅的论点背后存在“论点坍缩”：不同大语言模型会收敛到相同的主要论点、支撑论点和结构。Mollick 调侃《黑客帝国》把人当电池的想法很怪，认为人类作为“骰子”更有用，意在强调多样性在思考中的价值。
The Matrix idea of keeping humans as batteries is obviously weird… we would be more useful as dice.
LLMs default to very similar kinds of arguments &； structure， and even different LLMs seem to collapse to similar concepts. Humans provide a lot more variation in their own work.
From op-eds in newspapers to NeurIPS position papers, AI is increasingly shaping long-form public discourse. Its arguments seem plausible, but beneath surface f...