Language as Public Interface: Large Language Models, Wittgenstein, and the Humanist Prior in AI Research

Chin-chi Chang

doi:10.5281/zenodo.21092555

July 1, 2026Open Access

Language as Public Interface: Large Language Models, Wittgenstein, and the Humanist Prior in AI Research

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Key Points

The study aims to examine how large language models impact the notion of human exceptionalism in AI.
Develops a critique based on Wittgenstein's philosophy.
Analyzes the role of language in understanding and authority.
Explores implications of language models entering the public discourse.
Argues that large language models do not demonstrate machine consciousness.
Suggests these models redefine how authority and trust are constructed in society.
Highlights the complexity of self-description in the context of AI.

Implication

Critiques AI research by exploring how large language models challenge human exceptionalism, indicating social implications.

Abstract

This paper develops a Wittgensteinian critique of the humanist prior in contemporary AI research. It argues that large language models challenge human exceptionalism not by proving machine consciousness, but by entering the public language-world through which understanding, authority, trust, and self-description are socially recognized.

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Cite This Study

Chin-chi Chang (2026) studied this question.

synapsesocial.com/papers/6a47556d5c29257aa257a7b2 https://doi.org/10.5281/zenodo.21092555

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Language as Public Interface: Large Language Models, Wittgenstein, and the Humanist Prior in AI Research

Key Points

Implication

Abstract

Discussion

Cite This Study

Language as Public Interface: Large Language Models, Wittgenstein, and the Humanist Prior in AI Research

Key Points

Implication

Abstract

Discussion

Cite This Study

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