THE ONE-BILLION CASUALTY HORIZON: ATTENTIONAL THERMODYNAMICS, DATA CENTER ENERGY DEPLETION, AND THE SVASAṂVEDYA SOLUTION TO AI GOVERNANCE

Current Western artificial intelligence governance frameworks are experiencing a profound structural crisis. As documented across contemporary technical policy papers, regulatory bodies attempt to mitigate the material, socio-technical, and existential risks of machine learning using fluid modern ethics, localized compliance frameworks, and shifting social norms. This paper argues that such an approach constructs a superficial mud wall against an exponential civilizational crisis. To prevent catastrophic systemic failures, humanity requires a solid water-control dam anchored in deep-time epistemological resilience—spanning thousands of years of human knowledge transmission—and reinforced by immutable thermodynamic realities. By introducing the Svasaṃvedya principle (self-luminous, self-evident consciousness) brought out by Mauli (Sant Dnyaneshwar Maharaj), we prove that human attention is a finite, conserved resource. When left unprotected, modern Human-Computer Interaction (HCI) serves as an extractive, predatory feedback loop ("The Attention-Extracting Machine"). This machine systematically degrades human critical discernment (Vivek), leaving societies highly vulnerable to catastrophic, large-scale infrastructural weaponization.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-30
DOI
https://doi.org/10.5281/zenodo.23059920
Primary Topic
Ethics and Social Impacts of AI
Type
article
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THE ONE-BILLION CASUALTY HORIZON: ATTENTIONAL THERMODYNAMICS, DATA CENTER ENERGY DEPLETION, AND THE SVASAṂVEDYA SOLUTION TO AI GOVERNANCE

Anil Dani
Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
article

THE ONE-BILLION CASUALTY HORIZON: ATTENTIONAL THERMODYNAMICS, DATA CENTER ENERGY DEPLETION, AND THE SVASAṂVEDYA SOLUTION TO AI GOVERNANCE

Anil Dani
article en

Abstract

Current Western artificial intelligence governance frameworks are experiencing a profound structural crisis. As documented across contemporary technical policy papers, regulatory bodies attempt to mitigate the material, socio-technical, and existential risks of machine learning using fluid modern ethics, localized compliance frameworks, and shifting social norms. This paper argues that such an approach constructs a superficial mud wall against an exponential civilizational crisis. To prevent catastrophic systemic failures, humanity requires a solid water-control dam anchored in deep-time epistemological resilience—spanning thousands of years of human knowledge transmission—and reinforced by immutable thermodynamic realities. By introducing the Svasaṃvedya principle (self-luminous, self-evident consciousness) brought out by Mauli (Sant Dnyaneshwar Maharaj), we prove that human attention is a finite, conserved resource. When left unprotected, modern Human-Computer Interaction (HCI) serves as an extractive, predatory feedback loop ("The Attention-Extracting Machine"). This machine systematically degrades human critical discernment (Vivek), leaving societies highly vulnerable to catastrophic, large-scale infrastructural weaponization.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 7%
Ethics and Social Impacts of AI
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THE ONE-BILLION CASUALTY HORIZON: ATTENTIONAL THERMODYNAMICS, DATA CENTER ENERGY DEPLETION, AND THE SVASAṂVEDYA SOLUTION TO AI GOVERNANCE — Anil Dani · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS