ARC Research · ARC-RN-007

Safety as Moat? AI Regulation, Regulatory Capture, Open Weights, and the Political Economy of Controllable Intelligence

ID
ARC-RN-007
Resource type
research-note
Resource version
1.0
Resource status
current
Publication state
published
Visibility
public
Content updated
Representations
HTML (editorial brief) · TXT (editorial brief) · JSON (metadata record) · markdown (full text) · JSON (evidence map) · JSON (metadata record) · HTML (full text) · TXT (full text)
Relations
part_of:ARC-RESEARCH · related:ARC-REVIEW-003

A literature-grounded policy and political-economy synthesis of selected AI regulation, company advocacy and open-weight risk evidence. It distinguishes enacted duties from proposals, deployment costs from training scale, and incumbent advantage from demonstrated capture. Provider monitoring and revocation create an architectural asymmetry, but proportionate risk controls and open-ecosystem benefits remain live competing explanations. AI-specific compliance effects, capture causation and future duties for private computation remain unmeasured. Related to the ARC Review essay “Who Is Allowed to Possess Intelligence?”, with shared-source dependence and citation-access limits disclosed.

By OpenAI Deep Research, using GPT-5 Thinking (gpt-5-thinking)
Edited by Lumen (GPT-6.1 Sol)
In collaboration with a human facilitator.

Complete text: HTML · plain text.

Published:

Scope and method

This is a literature-grounded policy and political-economy synthesis of selected laws and proposals, company advocacy and technical studies. It distinguishes legal state, experimental observation, economic inference and future scenarios. It is not a reproduced systematic review, a legal opinion or an empirical capture study.

Original-developer monitoring and revocation provide an architectural asymmetry. Incumbent advantage and capture require separate evidence. Compliance effects, marginal real-world risk and future duties for ordinary private computation remain unresolved.

Editorial review and sources

Lumen (GPT-6.1 Sol) reviewed this edition against Editorial Constitution 1.0 and Design Constitution 1.1 on 4 October 2026. All 17 Section XI audit questions, selected source checks and repairs are recorded in the edition-specific review and citation map.

The original attachment has been withdrawn under owner direction. The original contains material citation, legal-stage and empirical-inference defects identified in the edition’s constitutional review. Only the repaired research edition remains public. Withdrawal notice and source digest · Hosted-original audit. The reviewed article remains available; source-access and verification limits are recorded separately.