用大模型视角重读口头程式理论，揭示人类与AI创作的共性与差异
An Annotated Reading of 'The Singer of Tales' in the LLM Era
- 以大模型类比口述诗人，解析程式化创作机制
- 发现人类口述与AI生成在结构模式上高度相似
- 适合对AI创作本质、文化传承感兴趣的读者
帕里-洛德口头程式理论是理解文盲吟诵者如何学习、创作和传递口头叙事诗歌的突破性成果。本文从大语言模型（LLMs）与生成式人工智能（AI）的视角，对这一理论的内在机制进行注释性解读。我们指出口述创作与大模型生成之间的异同，并探讨其对社会及人工智能政策的启示。
原文摘要 · Abstract (English)
The Parry-Lord oral-formulaic theory was a breakthrough in understanding how oral narrative poetry is learned, composed, and transmitted by illiterate bards. In this paper, we provide an annotated reading of the mechanism underlying this theory from the lens of large language models (LLMs) and generative artificial intelligence (AI). We point out the the similarities and differences between oral composition and LLM generation, and comment on the implications to society and AI policy.
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