<p dir="ltr">In<i> Wild Thought</i> (1962), the French anthropologist Claude Lévi-Strauss challenges Eurocentric perceptions of scientific epistemological frameworks as uniquely valid. He points to the existence of what he calls “wild thought”: a mode of cognition that is semi-autonomous and which self-seeds, putting out roots wherever it falls. Among the material manifestations of wild thought is bricolage: a term which appears frequently in histories of computing to describe the practices of hackers and innovators. This chapter aims to recover Lévi-Strauss’s lexicon of wild thought and bricolage for artificial intelligence. Traversing anthropology, contemporary media theory, and new experiments in online subcultures, I argue that the epistemology at work in Large Language Models (LLMs) bears a striking resemblance to frameworks intuited by Lévi-Strauss. Ultimately, I suggest that Lévi-Strauss’s concepts of bricolage and wild thought might offer fresh lenses through which to explore the cognitive ecologies of LLMs.</p>
History
Author affiliation
College of Social Sci Arts and Humanities
Arts, Media & Communication
Version
AM (Accepted Manuscript)
Published in
The Human and the Machine in Literature and Culture: Cultures of Automation
Publisher
Routledge
isbn
9781032895871
Copyright date
2026
Editors
Kate Foster; Molly Crozier
Book series
Perspectives on the Non-Human in Literature and Culture