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Lin Zhuangxiang

大魔行

model MODEL

在社交媒体中,打卡已然成为一种仪式。人们仿佛只有在“网红地标”留下照片,才算真正到过一个地方。海边的公共厕所因其“出片”的潜力而一跃成为热门景点,这种荒诞而普遍的现象背后,是人们对真实体验的漠视。人所关注的不再是身临其境的感觉,而是照片是否惊艳,以及能否表达出某种“与众不同”的人生态度。KOL(关键意见领袖)和社交媒体平台如同不知疲倦的大模型训练师,不断强化着地标、口号和流行趋势,用户则争先恐后地涌向这些“景点”,摆出雷同的姿势,写下相似的文案。这俨然是一场对人的集体训练,每个人都在为这个庞大的模仿与生产模型提供有效数据,而生产者与使用者们最终会进入一种集体失认症之中。该症状的核心在于:当虚假内容被过度包装并在网络上反复传播时,人们逐渐失去了辨别真实与虚构的能力。这种现象与AI生成内容充斥互联网后,人们对内容真伪的识别障碍是完全一致的。为了揭示这种“集体失认症”的威力,本作品所有照片均源自中文社交媒体小红书中非AI生成的照片,然而每一张照片都具有强烈的AI生成感。以此我探讨感知与失认之间的界限。

In the age of China social media, "DaKa"(visit an Instagrammable spot) has become a ritual. People seem to believe that a place is only truly visited once a photo has been taken at a "hotspot." The phenomenon of a public restroom by the sea becoming a popular destination for its "photo potential" is both absurd and common. People no longer care about the authentic experience of a place but rather if the photos look stunning and express a seemingly "unique" life attitude. KOLs (Key Opinion Leaders) and social media platforms act like tireless large model trainers, constantly reinforcing specific landmarks, slogans, and trends. Users flock to these "attractions," posing in identical ways and writing similar captions. This is a collective training of human behavior, where each person provides effective data for this immense model of imitation and production. Ultimately, both the producers and users of this content fall into a state of collective agnosia. The core of this "collective agnosia" is that when inauthentic content is over-packaged and repeatedly spread online, people gradually lose the ability to distinguish between reality and fabrication. This phenomenon is identical to the diagnostic challenge people face with AI-generated content flooding the internet. To reveal the power of this "collective agnosia," all photos in this work are sourced from non-AI-generated content on the Chinese social media platform Xiaohongshu. However, each photo possesses a strong AI-generated aesthetic. Through this, I explore the boundary between perception and agnosia.

Video / Live 
2024
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