Policy Lab

AI Development Pace & Safety Sandbox

Based on the Washington Post report on the Trump-Nvidia CEO summit & industry leadership rallies debating compute throttling vs. safety allocation.
Policy Presets Frontier Alignments
Simulation Levers
85%

Frontier accelerator foundry deployment rate driving raw model parameter growth.

25%

Dedicated compute and headcount reserved for mechanistic interpretability and red-teaming.

40%

Agility of multilateral oversight boards to evaluate releases before weights propagate.

78.0

Quarter 0 frontier capability benchmark (human expert ceiling normalized to 100).

Model Calibration Rules

• Final Capability = Base + (0.20 × Chip Rate) − (0.02 × Reg Speed)

• Safety Maturity = (1.50 × Safety Alloc) + (0.10 × Reg Speed)

• Systemic Risk = (Cap − Safety) + (0.20 × Chip Rate) − (0.035 × Reg Speed)

Final Capability 94.2 Benchmark Q12 index
Safety Maturity 41.5 Safeguard score
Systemic Risk Index 68.3 Failure exposure index
Trajectory Profile +52.7 Cap-to-Safety delta
Governance Status Verdict
High Velocity / High Risk
Frontier compute acceleration outstrips safety alignment verification. Critical risk of autonomous recursive breakout and deployment failure.
12-Quarter Trajectory Projection Q0 to Q12
Capability
Safety Maturity
Systemic Risk
Quarterly Progression Telemetry Detailed Step Records
Quarter Compute Index Capability Safety Maturity Systemic Risk Alignment Corridor
Generated Policy Brief Preview Instant Clipboard / Export Artifact
Enjoy this tool? Build your own with Super