Large Language Models: А Socio-Philosophical Essay

Neural networks have filled the information space. On the one hand, this indicates the scientific and technological movement of contemporary society (perhaps, AGI is already waiting for us outside the door). On the other hand, in everyday discourse there are extensive discussions about the fact that when neural networks are created, a person is left with hard work. However, a holistic understanding of the neural network is associated with a movement from the mythotechnological framework to the phenomenon itself and the questioning of its social role. The key aim of the paper is returning, through observing the range of functions of current LLMs, to the classic question of whether a machine can think. At the same time another question remains, are humans ready to accept the social subjectivity of machines.

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Journal
Galactica Media Journal of Media Studies
Published
2024-09-30
DOI
https://doi.org/10.46539/gmd.v6i3.502
Primary Topic
Topic Modeling
Type
article
Field-Weighted Citation Impact
0.00

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article

Large Language Models: А Socio-Philosophical Essay

Регина Пеннер
Galactica Media Journal of Media Studies
Topic Modeling
article

Large Language Models: А Socio-Philosophical Essay

Регина Пеннер
article en

Abstract

Neural networks have filled the information space. On the one hand, this indicates the scientific and technological movement of contemporary society (perhaps, AGI is already waiting for us outside the door). On the other hand, in everyday discourse there are extensive discussions about the fact that when neural networks are created, a person is left with hard work. However, a holistic understanding of the neural network is associated with a movement from the mythotechnological framework to the phenomenon itself and the questioning of its social role. The key aim of the paper is returning, through observing the range of functions of current LLMs, to the classic question of whether a machine can think. At the same time another question remains, are humans ready to accept the social subjectivity of machines.

Galactica Media Journal of Media StudiesVol. 6(3)
South Ural State University (RU)
Russian Science Foundation
Openalex Percentile: Top 85%
Topic Modeling
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