The field of natural language processing and generative models is moving towards a greater emphasis on stylometry, with a focus on capturing the nuances of individual writing styles and authorship. This direction is driven by the need for more sophisticated and realistic text generation, as well as the importance of understanding and preserving the unique characteristics of human writing. Another key area of development is the ethical use of large language models, with a growing concern for copyright detection, data leakage, and the potential risks associated with AI-generated content. Notable papers in this area include: ScriptViT, which presents a unified framework for personalized handwriting generation using Vision Transformers. Generation, Evaluation, and Explanation of Novelists' Styles with Single-Token Prompts, which introduces a framework for generating and evaluating sentences in the style of 19th-century novelists.