The article explores the concept of computational taste in large language models (LLMs) and their ability to make aesthetic judgments. It discusses the implications of LLMs in understanding and generating art, as well as the challenges of defining and measuring taste in computational terms. The author emphasizes the importance of integrating aesthetic values into AI development to enhance the creative potential of these technologies.