AI Alignment Pacing Simulator

Pacing Controls Adjust parameters

SCENARIO PRESETS

Capability Acceleration 4.5x

Frontier algorithmic model capability growth velocity per iteration

Verification Depth 3.0x

Depth of automated interpretability, red-teaming, and human checks

Compute Scaling Cap 70%

Effective cluster training cap preventing runaway unvetted runs

Governance Strictness 50%

Institutional audit gates, stop-work thresholds, and multi-party oversight

Alignment Trajectory T=0 to T=24 Months

Frontier Capability Index 142.6 Cumulative benchmark progress

Control Margin Score 72.4 Human oversight buffer > 0

Alignment Risk Level Low-Moderate Probability of catastrophic drift

Frontier Capability

Human Control Capacity

Safety Margin Differential

Pacing conditions maintain a positive control margin (+72.4 pts). Verification depth successfully scales alongside algorithmic leaps, mitigating unmonitored model agency.