# Chatbots and Zero Sales Resistance

arXiv: https://arxiv.org/abs/2408.10291 · HTML: https://mlsanity.com/paper/2408.10291/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 20 references that are in the map.
- First posted on arXiv 19 Aug 2024.

## Builds on (most cited first, 1 of 1)

- [A Survey of Methods, Challenges and Perspectives in Causality](https://mlsanity.com/paper/2302.00293/) (2023)

## Abstract (arXiv)

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.