AI Regulation Policy Scenarios & Consensus Matrix

Executive Presets

Policy Levers

Compute Licensing Threshold 10²⁶ FLOPs

Mandatory federal licensing threshold. Amodei & Altman proposed standard frontier cutoffs around 10²⁶ FLOPs.

Pre-Deployment Audit Level Level 4 (Strict CBRN)

Red-teaming for biological, cyber, and catastrophic misuse before any public or API weight release.

Open-Weight Liability Tier Strict Liability

Liability for downstream modifications of open weights. 0: Safe Harbor, 1: Strict Developer Liability, 2: Joint & Several.

Executive/White House Friction 0.82 (High Reluctance)

Reflects current administration skepticism toward comprehensive legislative caps that might slow US AI competition.

Consensus Alignment Amodei-Altman Core Dominant industry coalition stance

White House Feasibility 24% Adoption likelihood under friction

Federal Enforcement Burden $1.4B/yr NIST & Safety Institute oversight cost

Startup & Open Source Impact Severe Restriction Compliance barrier for non-hyperscalers

Executive Position Radar & Active Scenario

Executive Positions & Coalition Score

Dario Amodei (Anthropic) 94% Match

Advocates mandatory CBRN audits and federal licensing at frontier FLOP scales while protecting targeted safety research.

Sam Altman (OpenAI) 88% Match

Urged global safety agency oversight and frontier licenses, cautious on open-source downstream liability.

Elon Musk (xAI) 62% Match

Signed pause petitions, favors a referee mechanism but opposes institutional capture by established incumbents.

Contextual Policy Assessment

Reported via @WIRED: Dario Amodei's regulatory blueprint unites major frontier labs including Anthropic and OpenAI around standardized safety verifications. However, with White House political friction elevated at 0.82, federal adoption faces severe headwind due to international tech competitiveness fears and open-source lobbying.

Exported Policy Brief (JSON)

Simulating AI Policy Consensus and Enforcement Trade-Offs