Anthropy: human chaos and technological order in communication
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- dc.contributor.author Guerrero Solé, Frederic
- dc.date.accessioned 2025-06-23T13:14:29Z
- dc.date.available 2025-06-23T13:14:29Z
- dc.date.issued 2025-06
- dc.description.abstract Recent advancements in generative artificial intelligence (AI) have led to the release of highly sophisticated large language models (LLMs), such as Deepseek or GPT-4, that have allowed humanity the possibility to create an almost infinite number of intelligible texts generally indistinguishable from those created by humans themselves (Baron, 2023). Beyond the debates about their impact on efficiency and efficacy, or truthfulness, plagiarism (Cotton, Cotton & Shipway, 2024), and hallucinations (Alkaissi & McFarlane, 2023), one of the fundamental aspects of AI is that it imposes an order based on the statistical patterns embedded in its neural networks. AI, therefore, has the capacity to shape realities and discourses like no previous technology before, impacting on the way we write, teach, or perform research, as well as redefining how we understand critical concepts historically associated with human beings, such as originality and creativity.
- dc.format.mimetype application/pdf
- dc.identifier.citation Guerrero-Solé F. Anthropy: human chaos and technological order in communication. Barcelona: Universitat Pompeu Fabra. Grup de recerca MEDIUM, 2025. 11 p.
- dc.identifier.uri http://hdl.handle.net/10230/70746
- dc.language.iso eng
- dc.publisher Universitat Pompeu Fabra
- dc.relation.ispartofseries Pattern not found
- dc.rights This work is distributed under this Creative Commons license CC BY-NC-ND
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0
- dc.subject.keyword Anthropy
- dc.subject.keyword Human chaos
- dc.subject.keyword Technological order
- dc.subject.keyword Communication
- dc.title Anthropy: human chaos and technological order in communication
- dc.type info:eu-repo/semantics/workingPaper