AI Kill Switch Threshold Simulator | AI Governance & Containment Analysis

Governance Parameters

Capability Growth Rate (%/day) 4.5% Compound recursive scaling per 24h operational cycle

Autonomy Level (Index 0-100) 78 Autonomous tooling, self-coding & recursive execution index

Kill Switch Threshold (Index) 85.0 Statutory regulatory ceiling triggering mandatory shutdown

Monitoring Latency (Hours) 12h Audit loop reaction time between threshold trip & hardware disconnect

Real-Time Trajectory vs. Containment Margin (30-Day Window) D3 Dynamic Engine

Intervention Status

Tripped (Mandatory Stop)

Peak Capability Score

92.4

Time to Threshold

18 days

Societal Risk Level

Contained

Containment Verdict: Capability escalated past statutory trigger at Day 18. Due to 12h monitoring lag, model expanded to a peak index of 92.4 before mandatory kill switches isolated neural compute fabrics, successfully averting catastrophic runaway.

Context & Evidence: In BBC interviews, Anthropic co-founder Jack Clark stated that AI models are getting more capable "by the day" and argued that regulatory frameworks must implement mandatory hardware/software kill switches to mitigate major systemic risks to society before autonomous recursive capabilities outpace human oversight.