The Governor Problem: Why AI Safety Needs a Protocol, Not a Ceiling — The Trust Scalar as a Proposed Governance Framework

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Authors: Colson Lake
Cited by: 2

Abstract

The Anthropic CEO's warning that open-source AI is on a "very dangerous path" identifies a real problem through the wrong lens. The danger is not capability — it is ungoverned capability. Every proposed solution defaults to institutional control: restrict access, centralize authority, designate custodians. This is the co-option pattern LTOE Paper CLXXXVIII identified across three civilizational eras — authority moves from method to man. The Trust Scalar framework offers a structural alternative: a governance architecture grounded in pre-registration, adversarial oversight, public kill criteria, and data-first epistemology. This is not a ceiling on AI. It is a tuning fork — the same function Schumann resonance serves for biological coherence.

Fields of Study & Subjects

Innovation Sustainability Human-Machine Systems Ethics and Social Impacts of AI Space Science and Extraterrestrial Life

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
30 July 2026
Document type
Preprint