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From Knowledge to Wisdom: The Power of Large Language Models in AI
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SYSNO ASEP 0583712 Druh ASEP V - Výzkumná zpráva Zařazení RIV O - Ostatní Název From Knowledge to Wisdom: The Power of Large Language Models in AI Tvůrce(i) Wiedermann, Jiří (UIVT-O) RID, SAI, ORCID
van Leeuwen, J. (NL)Vyd. údaje Utrecht: Utrecht University, 2023 Edice Technical Report Č. sv. edice UU-PCS-2023-01 Poč.str. 14 s. Jazyk dok. eng - angličtina Země vyd. NL - Nizozemsko Klíč. slova artificial wisdom ; DIKW hierarchy ; epistemic computation ; generative AI ; illusory intelligence ; knowledge ; large language models ; 4E cognition Obor OECD Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8) Institucionální podpora UIVT-O - RVO:67985807 Anotace ZÁKLADNÍ ÚDAJE: Utrecht: Utrecht University, 2023. Technical Report, UU-PCS-2023-01. ABSTRAKT: In this paper, we explore the purpose and potential of artificial intelligence (AI) in light of the current generation of large language models. We argue that these models can be seen as tools for acquiring and generating artificial wisdom, enabling us to make wiser decisions and behave more intelligently. Unlike earlier AI approaches, which focused on generating knowledge from data, contemporary language models have the ability to extract meaning from syntactic patterns and relate this meaning to real-world descriptions. This capacity reflects a form of cognition known as 4E cognition, which emphasizes the embodied, embedded, extended, and enacted nature of intelligent behavior. We argue that contemporary language models possess a form of illusory intelligence and illusory wisdom that has not been described in the literature before. This insight challenges the traditional computational approaches to AI and opens up new avenues for research on the relationship between language, cognition, and intelligence. By recognizing the potential of large language models to generate and use wisdom, we can move beyond knowledge-centric approaches to AI and develop more nuanced models of intelligent behavior. Pracoviště Ústav informatiky Kontakt Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Rok sběru 2024 Elektronická adresa https://webspace.science.uu.nl/~leeuw112/techreps/UU-PCS-2023-01.pdf
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