Language processing in humans and computers
Computation and Language
2024-05-24 v1 Machine Learning
Logic in Computer Science
Abstract
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.
Cite
@article{arxiv.2405.14233,
title = {Language processing in humans and computers},
author = {Dusko Pavlovic},
journal= {arXiv preprint arXiv:2405.14233},
year = {2024}
}
Comments
100 pages, 64 figures; lecture notes, book draft