Chatbots and Zero Sales Resistance

TL;DR

The paper critiques the push to infinitely scale neural networks, arguing that the Curse of Dimensionality and energy costs undermine the scientific value of such approaches. It contends that learning through vast weight growth emphasizes control over insight, potentially weaponizing AI as a tool for financial power rather than understanding. By introducing Zero Sales Resistance (ZSR) and advocating for Algorethics, the author highlights the need for an insight-driven, causality- and explainability-focused AI paradigm. The work calls for a fundamental shift toward understanding and responsible AI to safeguard science’s integrity and societal impact.

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.