In recent years Generative Machine Learning systems have advanced significantly. A current wave of generative systems use text prompts to create complex imagery, video, even 3D datasets. The creators of these systems claim a revolution in bringing creativity and art to anyone who can type a prompt. In this position paper, we question the basis for these claims, dividing our analysis into three areas: the limitations of linguistic descriptions, implications of the dataset, and lastly, matters of materiality and embodiment. We conclude with an analysis of the creative possibilities enabled by prompt-based systems, asking if they can be considered a new artistic medium.
翻译:近些年来,创世机学习系统取得了显著进步。当前一波基因化系统使用文本来创造复杂的图像、视频,甚至3D数据集。这些系统的创建者声称在将创造力和艺术带给能够迅速打字的任何人方面发生了革命。在本立场文件中,我们质疑这些主张的依据,将我们的分析分为三个方面:语言描述的局限性、数据集的影响,最后是重要性和化身问题。我们最后分析了迅速基础系统促成的创造性可能性,询问是否可以将它们视为新的艺术媒介。