LLMs Converge on Same Arguments Across Models, Reducing Discourse Diversity

Across op-eds and NeurIPS position papers, different LLMs collapse to structurally similar arguments and supporting points despite surface variation. The finding suggests AI-generated long-form content homogenizes public discourse in ways that are hard to detect from fluency alone.