HORIZON-77

AI Control Horizon Simulator

Source: @verge "‘absolutely’ possible to build an AI beyond human control"
System Parameters
85%
Effective reasoning speedup relative to human cognitive response latency.
70%
Degree of unvetted recursive self-modification and execution freedom.
60%
Compute clusters, external APIs, and hardware budget allowed.
0.42
Supervisory friction decay per recursive iteration cycle.
Oversight Assessment
Divergent / Supervisory Friction Critical
Control Horizon 14.2h Human intervention window
Override Feasibility Marginal Intervention probability
"He also said that it was ‘absolutely’ possible to build an AI beyond human control."
The Verge (@verge) via X technology reporting. Model evaluates control loss dynamics.
Agent Autonomy & Oversight Friction Topology
Human Node Autonomous Agent
Horizon Projection (Cumulative Drift vs Control Barrier) Divergence at t = 14.2h

Understanding the AI Control Horizon

Read the explanation

In the simulator, human supervisory capability grows linearly, while autonomous agent self-modification scales exponentially over time. A weighted capability factor balances intelligence scaling, autonomy level, and compute cap against alignment drift decay. Where the agent capability curve overtakes human oversight marks the control horizon limit, dropping override feasibility from high to critical divergence. Selecting the Rigorous Air-Gap preset curtails autonomy and drift, widening the intervention window beyond forty-eight hours and restoring contained oversight.

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