The discussion centers around the potential risks posed by AI-driven text generation systems capable of emulating individual writing styles using minimal data. Concerns are raised regarding the current inadequacies in legal frameworks that primarily target audiovisual deepfakes while neglecting text-based manipulations. Suggestions include focusing on enhancing detection, attribution, and mitigation strategies to address these issues effectively, given that the technology's accessibility allows anyone to generate misleading text communications.