Chatbots and Zero Sales Resistance
Machine Learning
2024-08-26 v2
Abstract
It is argued that the pursuit of an ever increasing number of weights in large-scale machine learning applications, besides being energetically unsustainable, is also conducive to manipulative strategies whereby Science is easily served as a strawman for economic and financial power. If machine learning is meant to serve science ahead of vested business interests, a paradigm shift is needed: from more weights and little insight to more insight and less weights.
Keywords
Cite
@article{arxiv.2408.10291,
title = {Chatbots and Zero Sales Resistance},
author = {Sauro Succi},
journal= {arXiv preprint arXiv:2408.10291},
year = {2024}
}
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8 pages