This paper presents a novel exploration of the interaction between generative AI models, visualization, and narrative generation processes, using OpenAI's GPT as a case study. We look at the question "Where Does Generativeness Comes From", which has a simple answer at the intersection of many domains. Drawing on Umberto Eco's "Six Walks in the Fictional Woods", we engender a speculative, transdisciplinary scientific narrative using ChatGPT in different roles: as an information repository, a ghost writer, a scientific coach, among others. The paper is written as a piling of plateaus where the titling of each (sub-)section, the "teaser" images, the headers, and a biblock of text are strata forming a narrative about narratives. To enrich our exposition, we present a visualization prototype to analyze storyboarded narratives, and extensive conversations with ChatGPT. Each link to a ChatGPT conversation is an experiment on writing where we try to use different plugins and techniques to investigate the topics that, ultimately form the content of this portable document file. Our visualization uses a dataset of stories with scene descriptions, textual descriptions of scenes (both generated by ChatGPT), and images (generated by Stable Diffusion using scene descriptions as prompts). We employ a simple graph-node diagram to try to make a "forest of narratives" visible, an example of a vis4gen application that can be used to analyze the output of Large Languange + Image Models.

翻译：本文提出了一种新的探索方法，研究生成式AI模型、可视化与叙事生成过程之间的相互作用，并以OpenAI的GPT作为案例研究。我们探讨了“生成性从何而来”这一问题，其简单答案存在于多个领域的交叉点。借鉴安伯托·艾柯的《六次行走于虚构之林》，我们利用ChatGPT的不同角色——信息库、幽灵写手、科学教练等——构建了一种思辨性、跨学科的科学叙事。论文写作采用了高原累积式结构，其中各（子）节的标题、“预告”图片、页眉以及文本的双区块构成了关于叙事的叙事层。为丰富阐述，我们展示了一个用于分析可视化故事板叙事的原型工具，并附上了与ChatGPT的广泛对话记录。每个ChatGPT对话链接都是一次写作实验，我们尝试使用不同的插件和技术来探究最终构成此便携式文档内容的主题。我们的可视化系统使用了一个故事数据集，包含场景描述（由ChatGPT生成）、文本场景描述（由ChatGPT生成）以及图像（通过以场景描述为提示词由Stable Diffusion生成）。我们采用简单的图节点-边图来呈现“叙事之林”，这是可视化生成式AI（vis4gen）的一个应用实例，可用于分析大型语言与图像模型的输出。