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Extend the top edge of the glitch image upward by 5 centimeters

專案類型

Video/AI/Image

日期

2024

地點

Lancaster

I've been pondering whether artificial intelligence could possess a kind of subjectivity similar to that of humans or whether it could help us delve deeper into the essence of things. Although current AI lacks self-awareness or subject consciences, relying solely on algorithms and data to generate results, the introduction of the concept of "glitch" seems to add a new dimension to this discussion.
A "glitch" is usually seen as a technical error or instability, but from a philosophical and artistic perspective, it can serve as an opportunity to reveal deeper truths. I discovered a documentary on the 20th-century calligrapher Inoue Yuichi, and in the low-resolution video, the mosaic glitches actually revealed the inherent essence of his art that transcends time and space. This kind of accidental or unconscious creation can unexpectedly unveil a deeper truth.
In this AI image extension task I conducted, the mosaic glitches became a trigger for AI to complete the missing parts amid uncertainty. Although the AI lacked consciousness or intent, the content it generated often exceeded my expectations, and at times even revealed insights beyond human intuition. Thus, while AI does not have subjectivity or consciousness, its generative process, through the phenomenon of "glitch," can offer new perspectives for humans, helping us discover truths beyond our conventional cognitive frameworks. "uncertainty” in AI generation might unconsciously serve as a key, inspiring us to engage in deeper contemplation of art, technology, and even humanity itself.
我一直在思考人工智能是否能够拥有类似于人类的某种主观性,或者它是否能够帮助我们更深入地探索事物的本质。尽管当前的人工智能缺乏自我意识或主体意识,仅依靠算法和数据来生成结果,但“故障”这一概念的引入似乎为这一讨论增添了新的维度。
“故障"通常被视为技术错误或不稳定因素,但从哲学和艺术的角度来看,它却可以成为揭示更深层次真理的机会。我偶然发现了一部关于20世纪书法家井上有一的纪录片,在低分辨率视频中,马赛克故障实际上揭示了他超越时空的艺术本质。这种偶然或无意识的创作可以意外地揭示更深层次的真理。
在我进行的AI图像扩展任务中,马赛克故障成为AI在不确定的情况下完成缺失部分的触发因素。尽管AI缺乏意识和意图,但它生成的内容往往超出我的预期,有时甚至揭示了超越人类直觉的见解。因此,尽管AI没有主观性或意识,但通过“故障”现象,其生成过程可以为人类提供新的视角,帮助我们发现超越传统认知框架的真理。人工智能生成过程中的“不确定性”可能会在不知不觉中成为关键,激励我们更深入地思考艺术、技术甚至人类本身。

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