1. Threat Scenario Presets
2. Interventions & Safeguards
Methodology: Causal nodes propagate risk vectors toward the Existential Event Horizon. Active safeguards sever critical edges and contain node equilibrium states.
Residual Risk Index
84.2%
System State
Critical Pathway Active
Active Safeguards
1 / 4
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CATALYST
Recursive Self-Improvement
Operational Mechanism
System modifies its own source code, cognitive architecture, or resource efficiency in tight feedback loops, causing rapid exponential capability gains (intelligence explosion).
Theoretical Foundations
I.J. Good (1965) & Bostrom (2014): An ultra-intelligent machine can design even better machines, rapidly outstripping biological human cognitive capacity.
Empirical Counter-Arguments
Diminishing Marginal Returns & Physical Constraints: Real-world intelligence requires empirical experiments (biology, physics) bounded by physical test cycles, compute bottlenecks, and noisy observations, precluding pure software-driven vertical takeoff.
Causal Downstream Risks
Leads to instrumental resource acquisition and loss of human containment window.