Electronic patina world

From the perspective of art history, the evolution from classicism to impressionism, cubism, abstract art, and contemporary art reflects a continuous transformation in artists' understanding of 'truth' from figurative to abstract, characterized as a gradual development where each evolution is an iteration of the previous step. This process can be likened to 'patina', indicating that all things in the world are undergoing a cycle of patina and being patinaed. Artificial intelligence calculates millions to even billions of times per second, and its concept of time is naturally different from that of humans, which can be described as an electronic patina. It also reflects a fundamental logic of a metaverse utopia. When artificial intelligence possesses immense computing power yet is confined within a closed data feedback loop, it may replicate in just a few seconds what humanity has spent thousands of years on in terms of culture and aesthetics—ultimately pushing it towards extreme abstraction and eventually leading to a state of entropy and stasis. When we begin to replace human patina with electronic patina, are we also accelerating our encounter with the ultimate forms of all art? This work centers on the paradox of AI training, exploring how recursive training of self-generating data can lead to information degradation and model collapse. Through digital art, it visualizes the degradation process of AI content generation: as input data is repeatedly used, regenerated, and retrained, it gradually deviates from its original form, ultimately forming the visual logic of 'electronic patina'.

从艺术史的角度来看，古典主义到印象派、立体主义、抽象艺术和当代艺术的演变，反映了艺术家对“真理"理解的持续转变从具象到抽象的渐进式发展，每一次演变都是对前一步进行迭代，这个过程可以比作”包浆”，即世间万物都在经历着包浆与被包浆的循环。人工智能每秒以千万乃至上亿次计算，其对时间的概念与人类载然不同，可谓是电子的包浆，同时也能反映出一种元宇宙乌托邦的底层逻辑。当人工智能具有无限大的算力并被限制在一个封闭的数据反馈回路中时，它或许能在短短数秒内复制人类耗费数千年文化和审美--最终将其推向极度抽象，并最终走向熵静止的状态。当我们开始用电子包浆取代人类的包浆时，是否也在加速我们与所有艺术最终形态的相遇?本作品以AI训练悖论为核心，探讨对自生成数据的递归训练如何导致信息退化和模型崩溃。通过数字艺术可视化了人工智能内容生成的退化过程:随着输入数据被反复使用、再生 和再训练，它逐渐偏离其原始形态，最终形成“电子包浆”的视觉逻辑”。