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arXiv 2603.09486cs.AI
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Vibe-Creation:人类与人工智能涌现认知的 epistemology

Vibe-Creation: The Epistemology of Human-AI Emergent Cognition

Ilya Levin

AI总结:

本文提出‘vibe-creation’概念,探讨人类与生成式人工智能交互产生的认知-认识论形成‘第三实体’,并分析其对教育理论和知识能力的深远影响。

摘要:

人类推理与生成式人工智能(GenAI)的相遇无法通过继承的工具使用、增强或协作伙伴关系等隐喻来充分描述。本文认为,这些互动产生了一种质上不同的认知-认识论形成,这里称为第三实体:一种由两种本体上不相容的认知模式的转导耦合产生的涌现、短暂结构。借助皮尔士象征学、波尔尼的隐性知识理论、西蒙顿的个体化哲学、伊德的后现象学和莫林的复杂性理论,我们发展了这一形成的多层次理论框架。我们引入“vibe-creation”概念,用以指代第三实体在高维语义空间中导航的预反思认知模式,并论证这种模式构成了隐性知识的自动化——这对认识论、心灵哲学和教育理论都有深远影响。我们进一步提出“不对称涌现”概念,以表征第三实体的代理性:真正新颖且不可还原,但扎根于人类有意图的责任。本文最后探讨了这一理论框架对教育机构变革以及生成式人工智能时代知识能力重新定义的影响。

英文摘要:

The encounter between human reasoning and generative artificial intelligence (GenAI) cannot be adequately described by inherited metaphors of tool use, augmentation, or collaborative partnership. This article argues that such interactions produce a qualitatively distinct cognitive-epistemic formation, designated here as the Third Entity: an emergent, transient structure that arises from the transductive coupling of two ontologically incommensurable modes of cognition. Drawing on Peirce semiotics, Polanyi theory of tacit knowledge, Simondon philosophy of individuation, Ihde postphenomenology, and Morin complexity theory, we develop a multi-layered theoretical account of this formation. We introduce the concept of vibe-creation to designate the pre-reflective cognitive mode through which the Third Entity navigates high-dimensional semantic space and argue that this mode constitutes the automation of tacit knowledge - a development with far-reaching consequences for epistemology, the philosophy of mind, and educational theory. We further propose the notion of asymmetric emergence to characterize the agency of the Third Entity: genuinely novel and irreducible, yet anchored in human intentional responsibility. The article concludes by examining the implications of this theoretical framework for the transformation of educational institutions and the redefinition of intellectual competence in the age of GenAI.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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