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The Language of Large Linguistic Models through the Prism of V. Bibikhin's Philosophy

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  • DOI: https://doi.org/10.37816/2073‑9567‑2026‑79‑25‑31
  • УДК / UDC: 008
  • Publication Type: Research Article
  • For Citation:

    Balandin, D.Yu., Negrei, S.P. “The Language of Large Linguistic Models through the Prism of V. Bibikhin's Philosophy.” Vestnik slavianskikh kul’tur, vol. 79, 2026, pp. 25–31. (In Russ.) https://doi.org/10.37816/2073‑9567‑2026‑79‑25‑31 
  • Author 1: Daniil Yu. Balandin
  • Information about the Author 1:

    Daniil Yu. Balandin — Lecturer, Postgraduate student, Petrozavodsk State University, Lenina Ave., 33, 185910 Petrozavodsk, Russia; Junior
    Research Fellow, NORDICA Research and Educational Centre, Institute of Linguistics, Literature and History, Karelian Research Centre of the Russian Academy of Sciences, Pushkinskaya St., 11, 185000 Petrozavodsk, Russia.

    ORCID ID: https://orcid.org/0009‑0003‑0052‑025X  

    E‑mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
  • Author 2: Sabina P. Negrei
  • Information about the Author 2:

    Sabina P. Negrei — Master's student, Peter the Great St. Petersburg University, Polytechnicheskaya St., 29, B, 195251 St. Petersburg, Russia.

    ORCID ID: https://orcid.org/0000‑0003‑4843‑9357 

    E‑mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
  • Abstract: This paper is an attempt to describe the language of large linguistic models in the context of the thought of the Russian philosopher V. Bibikhin, who considered language an expression of the world's event, outside of which a person is incapable of recognizing oneself. By systematizing the main points of V. Bibikhin's philosophy of language concerning the essence of language, its close and inseparable connection with the world and humans, and referring to AI as a generic concept for large language models, briefly describing their specifics and main functions — processing and generating linguistic data using machine learning methods — the authors discovered a fundamental difference between the language of such models and natural language. They identified its main characteristics: secondary nature in relation to natural language due to the inability to express the world's event, general detachment from the world and humans, and resulting insensitivity of the language of large language models to the truth.
  • Keywords: Bibikhin V.V., language models, AI, natural language, world's event.
  • Funding Sources: The article was prepared within the framework of the state assignment of the Karelian Research Centre of the Russian Academy of Sciences (KarRC RAS) No. 125032004283‑0 "Spiritual Traditions of the Peoples of Karelia: Texts and Contexts".
  • Страницы / Pages: 25–31
  • Received: January 28, 2025
  • Approved after Reviewing: October 28, 2025
  • Publication Date: March 25, 2026

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