论文标题
合成书
Synthetic Books
论文作者
论文摘要
本文探讨了AI技术在GPT-2和GPT-3等AI技术提供帮助的新书面语言。本文中提到的问题不是关于这些新颖技术最终是否最终取代了著名的书籍，而是如何与此类出版物相关联和背景化，以及哪些新工具，过程和想法在其背后。为此，本文介绍了一个新的合成书籍概念。它代表了通过部署AI技术创建的出版物，即能够生成类似人类文本的更精确的自回归语言模型。在案例研究的支持下，讨论了合成书籍的价值和推理。本文强调，在AI生成的内容方面，艺术质量是一个问题。本文介绍了展示艺术家和/或受众群体以及基于深度学习的语言模型的互动输入的项目。最后，本文着重于理解艺术背景下书面语言的神经美学。
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.
