mlsanityData to 7 Oct 2026

Chatbots and Zero Sales Resistance

arXiv 2408.10291 ↗First posted 19 Aug 2024cs.LGcited by 0

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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.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 1 of its 20 references that are in the map. First posted on arXiv 19 Aug 2024.

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References · 1

  1. 2023A Survey of Methods, Challenges and Perspectives in Causalitycited by 6

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