Language processing in humans and computers

Fuente: arXiv
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Main Author: Pavlovic, Dusko
Format: Preprint
Published: 2024
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_version_ 1866911884900302848
author Pavlovic, Dusko
author_facet Pavlovic, Dusko
contents Machine-learned language models have transformed everyday life: they steer us when we study, drive, manage money. They have the potential to transform our civilization. But they hallucinate. Their realities are virtual. This note provides a high-level overview of language models and outlines a low-level model of learning machines. It turns out that, after they become capable of recognizing hallucinations and dreaming safely, as humans tend to be, the language-learning machines proceed to generate broader systems of false beliefs and self-confirming theories, as humans tend to do.
format Preprint
id arxiv_https___arxiv_org_abs_2405_14233
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Language processing in humans and computers
Pavlovic, Dusko
Computation and Language
Machine Learning
Logic in Computer Science
68T07, 68T50
I.2.7; I.2.6; H.3.1; H.3.3
Machine-learned language models have transformed everyday life: they steer us when we study, drive, manage money. They have the potential to transform our civilization. But they hallucinate. Their realities are virtual. This note provides a high-level overview of language models and outlines a low-level model of learning machines. It turns out that, after they become capable of recognizing hallucinations and dreaming safely, as humans tend to be, the language-learning machines proceed to generate broader systems of false beliefs and self-confirming theories, as humans tend to do.
title Language processing in humans and computers
topic Computation and Language
Machine Learning
Logic in Computer Science
68T07, 68T50
I.2.7; I.2.6; H.3.1; H.3.3
url https://arxiv.org/abs/2405.14233