Governance Presets
Frontier Parameters
Training Compute Scale
1.0e+26 FLOPs
Order of magnitude: 10²³ (GPT-4 era) to 10²⁸ (Hyper-ASI cluster)
Alignment Research Allocation
25%
R&D compute & talent dedicated exclusively to interpretability & safety
External Audit Cadence
6 months
Independent red-teaming and dangerous capability evaluations
Governance Dynamics: Capability advances exponentially with compute, while safety verification exhibits logarithmic scaling unless alignment investments compress the safety gap.
36-Month Horizon Projection
Real-time trajectory modeling capability growth vs governance margin
Capability Index
Safety Capacity
Control Retention %
Critical Boundary
Control Telemetry
Control Retention Score
84.5
Probability of human intent compliance (0-100)
System Risk State
Moderate-Controlled
Governor verified within operational limits
Recommended Action
Implement safety checkpoints and align scaling velocity with verification capacity.
Safety-Capability Gap
+12.4 index pts
Verification lag at Month 36
Context: Grounded in calls by frontier AI leaders for coordinated pacing. When compute leaps outpace interpretability science, loss-of-control vectors become non-linear.