Generative Language Patterns and the Phenomenon of Anti-Anthropocentrism — New Perspectives on the Linguistic Paradigm of «Posthumano» and «General/Strong» AI

Author:

Ziryanova Irina1ORCID,Chernavskiy Alexander2ORCID

Affiliation:

1. Baikal State University

2. Moscow Pedagogical State University

Abstract

The presented material introduces an authorial hypothesis on the prospects of the emergence of the linguistic paradigm «posthumano», based on an analytical interdisciplinary review and analysis of the development feature of large generative language models through the enhancement of neural network algorithms in deep machine learning. The authors put forward a theoretical and methodological foundation of the appearance of such a phenomenon in the context of the development of anti-anthropocentrism theories. The article actualizes the development of «post-anthropocentric» approaches overcoming the traditional binary opposition «man/machine», extending into the realm of linguistics. Building on achievements in the development and training of generative language models, a new concept of language as an autonomous, self-developing system, termed «posthumano» is formulated and proposed for further criticism and development. The authorial concept of the emerging a new linguistic paradigm is based both on the principles of the interdisciplinary approach and on the discourse of transdisciplinarity that developed in the second half of the 20th century. In this contribution, the authors outline some of the foundational principles and reasons that may underlie the new linguistic paradigm and offer some thoughts on the immediate prospects for the development of linguistic practices and humanitarian knowledge in the era of expectation/development of «general/strong» artificial intelligence technologies. The authors put forward a theoretical and methodological basis for the emergence of such a phenomenon in the context of the development of theories of anti-anthropocentrism. The article updates the development of «post-anthropocentric» approaches that go beyond the traditional binary opposition «man/machine», including the field of linguistics. Based on advances in the development and training of generative language models, the formulation and a new concept of language as an autonomous, self-developing «posthumano» system is proposed for further analysis, criticism, and development. The author’s concept of the formation and development of a new emerging linguistic paradigm is based both on the principles of an interdisciplinary approach and on the discourse of transdisciplinarity, which developed in the second half of the 20th century. The authors set out both some basic foundations and reasons that can form the basis of a new linguistic paradigm and offer some thoughts on the immediate prospects for the development of language practices and humanitarian knowledge in the era of anticipation/development of «general/strong» artificial intelligence technologies.

Publisher

Baikal State University

Reference21 articles.

1. Tegmark M. Life 3.0: Being Human in the Age of Artificial Intelligence. New York, Alfred A. Knopf, 2017. 364 p. (Russ. ed.: Tegmark M. Life 3.0: Being Human in the Age of Artificial Intelligence. Moscow, Corpus Publ., 2019. 552 p.).

2. Pinker S. The language instinct. New York, HarperPerennial, 1995. 494 p. (Russ. ed.: Pinker S. The language instinct. Moscow, Editorial URSS Publ., 2004. 456 p.).

3. Chomsky N., Roberts I., Watumull J. Noam Chomsky: The False Promise of ChatGPT. The New York Times, 2023, March 8.

4. Yann Le Cun. When the Machine Learns: The Revolution of Artificial Neurons and Deep learning. Odile Jacob, 2019. 394 p. (Russ. ed.: Lekun Y.A. How a Machine Learns: A Revolution in Neural Networks and Deep Learning. Moscow, Al'pina PRO Publ., 2021. 335 p.).

5. Hinton G. How to Represent Part-Whole Hierarchies in a Neural Network. Neural Computation, 2023, vol. 35, iss. 3, pp. 413–452.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3