  The article explores new ways of written language aided by AI technologies,
like GPT-2 and GPT-3. The question that is stated in the paper is not about
whether these novel technologies will eventually replace authored books, but
how to relate to and contextualize such publications and what kind of new
tools, processes, and ideas are behind them. For that purpose, a new concept of
synthetic books is introduced in the article. It stands for the publications
created by deploying AI technology, more precisely autoregressive language
models that are able to generate human-like text. Supported by the case
studies, the value and reasoning of the synthetic books are discussed. The
paper emphasizes that artistic quality is an issue when it comes to
AI-generated content. The article introduces projects that demonstrate an
interactive input by an artist and/or audience combined with the
deep-learning-based language models. In the end, the paper focuses on
understanding the neural aesthetics of written language in the art context.
