From Knowledge to Wisdom: The Power of Large Language Models in AI

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F23%3A00583712" target="_blank" >RIV/67985807:_____/23:00583712 - isvavai.cz</a>

Výsledek na webu

<a href="https://webspace.science.uu.nl/~leeuw112/techreps/UU-PCS-2023-01.pdf" target="_blank" >https://webspace.science.uu.nl/~leeuw112/techreps/UU-PCS-2023-01.pdf</a>

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

From Knowledge to Wisdom: The Power of Large Language Models in AI

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

From Knowledge to Wisdom: The Power of Large Language Models in AI

Popis výsledku anglicky

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.

Druh

O - Ostatní výsledky

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů