More human than human?
LLMs can sound inventive, fluid, and original, yet they also drift, lose track, and break coherence over distance.
This paper asks whether both strengths and failures may arise from the same source: the local structure of human language itself. Bringing together theory, linguistics, and model behaviour, it offers a fresh way of thinking about creativity, coherence, and breakdown in AI text generation.