生成式人工智能难以忍受的老旧:或在 ChatGPT 时代重塑数字叙事

Nishant Shah
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引用次数: 0

摘要

生成式人工智能(Gen-AI)应用在日常应用中的开放催化了新兴的讨论,这些讨论往往将生成式人工智能描述为彻底的、颠覆性的新事物。我重温了计算史早期对话中的两个时刻,以对 Chat GPT 进行历史化:通过存储、排序和语义单位排序的计算方法来制作数字叙事,以及通过可计算性和堆栈的计算架构来制作数字叙事。我提供了一个批判性转向框架,将 Gen-AI 解读为一种新形式的数字叙事实践,它对日常生活中叙事的意义和功能的未来提出了挑战。
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The unbearable oldness of generative artificial intelligence: Or the re-making of digital narratives in times of ChatGPT
The emerging discourse catalyzed by the opening up of generative artificial intelligence (Gen-AI) applications for everyday usage often presents Gen-AI as radically and disruptively new. I revisit two moments in early conversations in computational history to offer a historicization of Chat GPT: the making of digital narratives through computational methods of storing, sorting and sequencing semantic units and the production of digital narratives through computational architecture of computability and stacks. I offer a framework of critical turns that unpack Gen-AI as a new form of digital narrative practice that challenges the future of meaning and function of narratives in everyday lives.
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