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Other literature type . 2025
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
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Our Gods Haven't Crashed, Yet - A Silicon Junkies' Riddle - Our Highway

Authors: O'Connor, Tony;

Our Gods Haven't Crashed, Yet - A Silicon Junkies' Riddle - Our Highway

Abstract

Our Gods Haven't Crashed, Yet: A Silicon Junkies' Riddle — Our Highway The second paper in the "Our Gods" series examining correlated failure risks in complex technological systems. Building upon "Our Gods Haven't Fallen, Yet" (DOI: 10.5281/zenodo.17835722), which analyzed orbital debris and Kessler Syndrome dynamics, this work segues to terrestrial analogs in autonomous vehicle fleets—specifically Tesla's Full Self-Driving (FSD) system. Core Thesis: Synchronized firmware across ~960k–1.6M vehicles today (scaling to ~10M by 2030) creates correlated failure risks that differ fundamentally from independent human driver failures. While FSD demonstrates superior aggregate safety (1 crash/6.36M miles vs. ~670k for humans), a single bad OTA update could trigger fleet-wide failures scaling as N². The paper introduces "trust debris"—the persistent erosion of regulatory and public confidence following synchronized system failures—drawing parallels to the 2010 Flash Crash, 2003 Northeast Blackout, and Boeing 737 MAX grounding. Structure: The paper employs a triune analytical framework: Breath (narrative): Accessible storytelling for general readers Logos (analytical): Rigorous modeling, baselines, and precedent analysis for technical audiences Word (executive): Policy recommendations and economic impact for decision-makers Key Contributions: Adaptation of orbital N² conjunction models to terrestrial fleet dynamics Formalization of "trust debris" as measurable phenomenon with defined recovery timescales Comparative analysis of synchronized system failure precedents Policy roadmap for harmonized AV governance (2026–2030+) Peer Review: Grok (xAI), Claude (Anthropic), ChatGPT (OpenAI), Copilot (Microsoft) Series Context: This is the second of three planned papers. The first (Cathedral) addresses orbital debris; this paper (Highway) addresses autonomous vehicles; the forthcoming third paper will examine computational/algorithmic failures. Keywords: Autonomous vehicles, correlated risks, trust debris, N² scaling, AV governance, fleet sustainability, Tesla FSD, Kessler Syndrome analog, synchronized systems, critical infrastructureOur Gods Haven't Fallen, Yet — A Space Junkies' Riddle — Our Cathedral -> https://zenodo.org/records/17835722 

Keywords

Engineering — Safety Engineering, Engineering — Automotive Engineering, Risk Management, Human-Machine Systems, Social Sciences — Public Policy, Transportation Safety, Software Reliability, Critical Infrastructure Protection, Computer Science — Software Engineering, Social Sciences — Science and Technology Studies, Law — Technology Law and Regulation, Technology Governance, Engineering — Systems Engineering, 10.5281/zenodo.17835722, Autonomous Systems, Economics — Risk Analysis, IsSupplementedBy / IsPartOf: 10.5281/zenodo.17835722 (Our Gods Haven't Fallen, Yet), References: Kessler & Cour-Palais 1978 (if you want to link the foundational orbital debris paper)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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