AI 中文总结
该文探讨生成式人工智能，通过生成艺术谱系揭示其与历史的关联，提出生成系统分类法，识别相关风险并给出应对，阐述艺术家角色转变，引入算法重复等概念，还通过两方面考察支持论点，探讨生成时代艺术作品地位等问题。
AI 中文摘要
本文认为生成式人工智能并非前所未有的技术突破，而是一个根深蒂固历史进程的产业规模体现。通过生成艺术谱系，表明人工智能关于作者身份和创造力的问题有确切历史先例。提出了跨三个功能类别（媒介、艺术品、工具）的生成系统分类法，其归属是编辑性而非本体论的。识别了从个体认知萎缩到模型崩溃等创造性自动化的系统风险，并提出环境丰富化作为解药。艺术家角色经历了从物体工匠到熵代理、系统设计师、探索者和负熵策展人的根本转变。基于管道的分类法基于特定前提：算法系统仍是媒介、工具或艺术品，而创造性代理存在于沿其分布的人类中。引入算法重复作为对齐生成系统的审美退化；本雅明式的灵光在生成时代并未消散，而是凝聚在生产系统上。提出表现作为生成作品的第三种本体论地位，超越原作与复制品的二分法。为支持论点，考察了两个互补方面：分布式作者身份的激进化；以及对旧有生成模型的重新评估，其不稳定性构成了近期模型失去的审美自由度。
英文摘要
This paper frames Generative Artificial Intelligence (AI) not as an unprecedented technological rupture, but as an industrial-scale manifestation of a deeply rooted historical process. Through a genealogy of generative arts, it shows how AI's questions on authorship and creativity have precise historical precedents. A taxonomy of generative systems is proposed across three functional categories (medium, artwork, instrument), the attribution of which is editorial rather than ontological. From individual cognitive atrophy to Model Collapse, the systemic risks of creative automation are identified; environmental enrichment is proposed as an antidote. The role of the artist undergoes a radical metamorphosis: from craftsman of the object to entropic agent, systems designer, explorer, and negentropic curator. This pipeline-based taxonomy rests on a specific premise: the algorithmic system remains medium, instrument, or artwork, while creative agency resides in the humans distributed along it. Algorithmic Repetition is introduced as the aesthetic degeneration of aligned generative systems; the Benjaminian aura does not dissolve in the generative era but condenses upon the productive system. Manifestation is proposed as a third ontological status for generative works, transcending the dichotomy between original and copy. To support the proposed theses, two complementary aspects are examined: the radicalization of distributed authorship; and the reevaluation of older generative models, whose instability constitutes an aesthetic degree of freedom lost by recent ones.
CommentsSubmitted to Minds and Machines on 08 Jul 2026
