Federal Simulation Engine

AI Regulation Policy Scenarios & Consensus Matrix

Executive Presets
Custom Dynamic
Direct Alignment Models
Federal Policy Levers
Compute Threshold (FLOPs) 1.0e+26 FLOPs

Mandatory federal reporting trigger. Amodei proposes 10^26 FLOPs for frontier CBRN/autonomous cyber capability checks.

10²⁴ (Broad) 10²⁶ (Frontier) 10²⁸ (Hyper-Scale)
Mandatory Audit Rigor Level 4 (CBRN/Autonomy)

Independent third-party red-teaming and pre-deployment clearance before cluster weights are exposed or trained.

L1: Self-cert L3: NIST Baseline L5: Air-gapped Vet
Open-Weight Liability Rule Strict Developer Strict Liability

Whether creators of open-weight models remain liable for downstream finetuning and catastrophic weaponization.

Safe Harbor Strict Liability Prohibitive Cap
White House Political Friction 82% Resistance

Executive reluctance to handicap US frontier race against geopolitical rivals and avoid regulatory capture.

10% (Bipartisan) 50% (Gridlock) 99% (Hostile)
Consensus Match
Amodei-Altman Core
Frontier safety audit coalition
Feasibility Score
24%
Low: High White House skepticism
Enforcement Burden
$1.4B/yr
NIST + DOE oversight budget
Startup Impact
Severe Restriction
Audit barrier & open-weight liability
Executive Stance Alignment Radar
Simulated Policy
Dario Amodei
Sam Altman
Elon Musk

Governance Alignment Matrix

Actor Compute Trigger Open Source Auditing WH Likelihood
Dario Amodei 10²⁶ FLOPs Strict on Tier 4 Gov Red-Teams Low (20%)
Sam Altman 10²⁵ FLOPs Tiered Exemption IAEA-style Agency Medium (35%)
Elon Musk 10²⁴ FLOPs Restricted Open Mandatory Pause Very Low (10%)
Active Preset 10²⁶ FLOPs Strict Dev Tier 4 Clearance 24%
Trade-off Insight: Higher compute licensing protects against catastrophic biological/cyber misuse but imposes severe capital compliance moats on open-source research and seed-stage AI labs.

Executive Feasibility & Geopolitical Friction Analysis

The simulated policy mirrors Dario Amodei’s Anthropic essay calling for government licensing and mandatory testing above 10^26 FLOPs. While endorsed in principle by Sam Altman and Elon Musk, the White House views federal pre-clearance as an unacceptable brake on US competitiveness against China, producing a feasibility score of only 24% and an estimated $1.4B annual federal enforcement overhead.

National Security Containment 84%
Open-Source Research Viability 22%
Congressional Enactment Friction 82%
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