An Annotated Reading of 'The Singer of Tales' in the LLM Era

TL;DR

The paper presents a mechanism-focused annotated reading of The Singer of Tales to illuminate how Parry-Lord's oral-formulaic theory parallels modern LLMs. By aligning stages of learning, formulaic composition, and audience-driven ornamentation with pre-training, alignment, and inference in transformer-based models, the work reframes AI as a post-literate co-creative partner rather than a replacement for humans. Key contributions include a nuanced mapping between formulas, themes, and LLM constraints; a discussion of attribution, authorship, and copyright in AI-generated text; and a policy-relevant perspective on how AI might influence culture, aesthetics, and governance. The analysis suggests practical implications for model design, guardrails, and responsible deployment, highlighting the potential for AI to augment human creativity while preserving traditional notions of meaning and provenance.

Abstract

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.