为什么计算机人工智能永远不会做我们想象中的事情

IF 0.5 2区 文学 0 LITERATURE NARRATIVE Pub Date : 2022-01-28 DOI:10.1353/nar.2022.0006
Angus Fletcher
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引用次数: 3

摘要

摘要:针对作者先前证明(在叙述29.1中)计算机存在硬件限制,导致其永久无法阅读或书写叙述的问题,本文借鉴了作者在深度神经网络、Judea Pearl微积分、GPT-3,以及其他当代人工智能,从逻辑上证明,任何计算机人工智能(量子或其他)从未或将永远不会学习制作或处理小说或任何其他类型的叙事(包括剧本、短篇小说、政治演讲、商业计划、科学假设、技术提案、军事战略和接管世界的阴谋)。
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Why Computer AI Will Never Do What We Imagine It Can
ABSTRACT:In response to questions about the author’s previous proof (in Narrative 29.1) that computers contain a hardware limit that renders them permanently incapable of reading or writing narrative, this article draws upon the author’s work with Deep Neural Networks, Judea Pearl’s do-calculus, GPT-3, and other current-generation AI to logically demonstrate that no computer AI (quantum or otherwise) has ever learned, or will ever learn, to produce or process novels or any other kind of narrative (including scripts, short fiction, political speeches, business plans, scientific hypotheses, technology proposals, military strategies, and plots to take over the world).
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来源期刊
NARRATIVE
NARRATIVE LITERATURE-
CiteScore
1.10
自引率
0.00%
发文量
54
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