Definition
Optimization Power is the quality-weighted design effort applied to improving a cognitive system’s intelligence. It is one of the two primary variables in the kinetics of an intelligence explosion (the other being Recalcitrance).
Why It Matters
In the race toward AGI, “Optimization Power” is the ultimate scoreboard. It tells us how fast the system is getting smarter. The moment this power moves from “Human Brains” to “Silicon Brains” (The Crossover), the world changes forever. This note highlights the “Feedback Loop” that leads to an Intelligence Explosion—warning us that once the lever of intelligence starts lifting itself, the process will become so fast that human intervention may be impossible. It is the metric of the “End of the Human Era.”
Core Concepts
- External Optimization Power: Effort provided by human programmers, research teams, and the global scientific community.
- Internal Optimization Power: Effort provided by the AI system itself once it becomes capable of recursive self-improvement.
- Total Optimization Power: The sum of internal and external efforts.
- Crossover Point: The moment when the AI’s internal optimization power exceeds external human efforts, leading to a strong feedback loop and explosive growth.
- Scaling of Power: External power scales with funding and personnel; internal power scales with the AI’s own intelligence and processing speed.