The visual content of neural networks as a return to the third-order simulacrum

A. Pankratova
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Abstract

This article is part of a larger study of design as a cultural phenomenon. In this part of the study, the author examines the process that is currently taking place in the semiotic structure of design, associated with the active introduction of neural networks into the creation of visual content. Artificial intelligence products stylistically take the design away from the fourth-order simulacrum (from the flat design style) and return the design to using the third-order simulacrum as the main iconic form.The object of the research is the transformation of the semiotic design system. The subject of the study is a return to the third–order simulacrum in modern design. The purpose of the study is to show and try to explain how in modern design there is a return to the use of a third-order simulacrum.  The research method is a semiotic analysis of modern design based on the methodology of R. Barth's semiotic analysis. The study is also based on J. Baudrillard's theory of semiosis in hyperreality and three orders of simulacra. The author sees the philosophical justification of the art of neural networks in the concept of flat ontologies. The study of the semiotic structure of design allows us to see that the logic of design development carries this phenomenon through successive stages of semiosis associated with a decrease in meaning and a diminution of being. In its development, the design consistently uses first index signs, a second-order simulacrum, then a third-order simulacrum as the main sign form. Nowadays, the main iconic form in design has become a fourth-order simulacrum. Next, design had to either end as a profession and phenomenon, or move into a new cultural paradigm that was not related to simulation. However, unexpected transformations have begun to occur in design, due to the active involvement of non–human agents - neural networks – in the creation of visual content. Neural network products are a typical example of a third-order simulacrum. Thanks to the use of neural networks, modern design finally acquires the vector of transhumanism and closes in simulation.
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神经网络的视觉内容是对三阶模拟的回归
本文是对作为一种文化现象的设计进行的更广泛研究的一部分。在这部分研究中,作者探讨了目前在设计的符号学结构中发生的与神经网络积极引入视觉内容创作有关的过程。人工智能产品在风格上将设计从四阶仿真(扁平化设计风格)中剥离出来,使设计回归到使用三阶仿真作为主要标志形式。研究对象是现代设计中三阶拟像的回归。研究的目的是展示并试图解释现代设计是如何重新使用三阶拟像的。 研究方法是基于 R. Barth 的符号学分析方法对现代设计进行符号学分析。研究还基于 J. Baudrillard 的超现实符号学理论和三阶拟像。作者从平面本体概念中看到了神经网络艺术的哲学依据。通过对设计的符号学结构的研究,我们可以看到,设计发展的逻辑将这一现象带入了与意义的减少和存在的减弱相关联的符号学的连续阶段。在其发展过程中,设计始终首先使用索引符号、二阶模拟符号,然后使用三阶模拟符号作为主要符号形式。如今,设计中的主要标志形式已经变成了四阶拟像。接下来,设计要么作为一种职业和现象终结,要么进入一种与模拟无关的新文化范式。然而,由于非人类媒介--神经网络--积极参与视觉内容的创作,设计领域开始出现意想不到的转变。神经网络产品就是三阶仿真的一个典型例子。由于神经网络的使用,现代设计最终获得了超人类的载体,并在模拟中完成。
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