Scalable watermarking for identifying large language model outputs

This article likely discusses a method to embed a unique, detectable 'watermark' within the text generated by a large language model (LLM). The goal is to identify text that was generated by a specific LLM, potentially for purposes like content attribution, detecting misuse, or understanding the prevalence of AI-generated content. The term 'scalable' suggests the method is designed to work efficiently even with large volumes of text.