Sobre loros estocásticos. Una mirada a los modelos grandes de lenguaje

Gustavo La Fontaine

doi:10.62876/lr.vi45.6480

Authors

Gustavo La Fontaine Universidad Católica Andrés Bello

DOI:

https://doi.org/10.62876/lr.vi45.6480

Keywords:

Artificial intelligence AI, language models, GPT-4, semantics, human language, artificial language

Abstract

This article critically examines the nature and capabilities of advanced artificial intelligence (AI) systems, with a particular focus on large-scale language models like GPT-4. Using the "stochastic parrot" metaphor proposed by Bender et al. (2021), it analyzes the ability of these systems to generate responses based on statistics and probability, highlighting both their impressive progress and inherent limitations. Despite these models' ability to produce text that appears coherent and contextually appropriate, it argues that they lack true semantic understanding and awareness, characterizing them more as sophisticated mimics than conscious entities.

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Author Biography

Gustavo La Fontaine, Universidad Católica Andrés Bello

Universidad Católica Andrés Bello.

Caracas. Venezuela.

References

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