Natural language generative models as perception prostheses

Authors

  • Fernando Alberto Pozetti Filho PUC

DOI:

https://doi.org/10.48075/ra.v12i4.33106

Keywords:

Phenomenology, History of cinema, Natural language generative models, Artificial intelligence

Abstract

The filmic experience has spread to a large part of the world's population, producing mutations in sensing. In this article, we argue about the cognizable causality between the abstraction of signs – phenomenologically reduced and projected on analog-digital screens – with the organicity and intelligibility of the scopic interaction of gaze. The set of psychic inductions resulting from these experiences of "sensitivity mutation" appear to be mediated by a stimulating nature, whose power of subjective control is massive and determinant. We will present a brief genealogy of the use of screens as perception prostheses, beginning with the invention of cinema and its contribution to revolutionary and counterrevolutionary ideologies, equally in the strategic integration of the American empire and in the German population's affiliation with Nazism. With the change of support between analog-digital, this scenario becomes highly complex in so-called postmodernity. This scenario of cognitive expropriation has recently returned in neofascist attacks on democracies, precisely through investment and adherence to audiovisual productions (fake news and denialisms) directed at the ideological and ontological management of populations. Finally, we will analyze the current natural language generative models used by artificial intelligence-deep learning (LLM), highlighting how such tools will delineate humanity's subjective and political qualities in the coming years.

Published

21-12-2024

How to Cite

POZETTI FILHO, F. A. Natural language generative models as perception prostheses. Alamedas, [S. l.], v. 12, n. 4, p. 111–124, 2024. DOI: 10.48075/ra.v12i4.33106. Disponível em: https://saber.unioeste.br/index.php/alamedas/article/view/33106. Acesso em: 10 may. 2025.

Issue

Section

Artigos e Ensaios