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%

Federal Policy Feasibility & Enforcement Mechanics

Read the explanation

The simulation weighs federal compute licensing thresholds, audit rigor, and liability against political resistance to compute policy feasibility and national agency budgets. Selecting the Sam Altman preset lowers the compute exponent from 26 to 25 FLOPs, moderates mandatory auditing to Tier 3, and grants open-weight safe harbor. Political friction drops to fifty-five percent. This lifts feasibility from twenty-four percent up to forty-two percent, while federal enforcement outlays contract to one point one billion dollars annually.

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