ІншеЗовнішня публікація24 січня 2025 р.

THE PROBLEM OF UNDERSTANDING HUMAN IDEAS BY ARTIFICIAL INTELLIGENCE AND SPECIFICALLY LARGE LANGUAGE MODELS: A PHILOSOPHICAL ANALYSIS OF POSSIBILITIES AND LIMITATIONS

Mykyta SkrypchenkoВалентина ШтанькоORCID

Анотація

The rapid advancement of Large Language Models (LLMs), exemplified by GPT-4, has transformed the landscape of artificial intelligence (AI) and natural language processing (NLP). These models have achieved remarkable humanlike fluency in generating coherent and contextually relevant text, raising both excitement and critical scrutiny within academia and industry [2]. Despite their linguistic prowess, fundamental questions remain about the nature of their “understanding.” Scholars highlight the tension between their statistical pattern-matching capabilities and the absence of deeper conceptual or experiential grounding, which is essential for truly understanding human language [4, 6]. This distinction is particularly salient when LLMs attempt tasks involving nuanced cultural, historical, or embodied contexts that are inherently tied to human lived experiences.

Класифікація

Домен

Social SciencesPhysical Sciences

Галузь

Economics, Econometrics and FinanceComputer Science

Підгалузь

General Economics, Econometrics and FinanceArtificial Intelligence

Тема

★Digital Transformation in LawCognitive Science and MappingEconomic Development and Digital Transformation

Ідентифікатори

DOI: 10.36074/logos-24.01.2025.066

Рецензії (0)

Написати рецензію

Рецензій ще немає. Будьте першим!

Коментарі до статті

Коментарів ще немає

Увійдіть щоб залишити коментар

Схожі роботи

Problems of Intellectual Property in the Information Economy Through the Prism of Artificial Intelligence as a Dual-Purpose Technology