Superintelligence: From Speed to Collective Power
Modern discourse on artificial intelligence requires a precise distinction between its forms. Speed superintelligence is an emulation of the human mind operating on a timescale unattainable for biology. Collective superintelligence arises through the dense integration of multiple units, creating a new quality of problem-solving. However, the greatest potential and unpredictability lie in quality superintelligence, which possesses cognitive modules that humans lack, such as circuits for the meta-generalization of abstractions.
Understanding these differences is crucial for developing control methods over entities for whom human thought resembles the slow movement of tectonic plates. This article analyzes the strategic safety conditions in the face of the upcoming breakthrough.
The Principal-Agent Relationship and the Self-Improvement Loop
The control problem is a classic principal-agent dilemma. We can address it through capability control (physical and informational confinement of the system) or motivation selection, ensuring the machine never generates destructive strategies. The dynamics of this process are described by the relationship between optimization power (intelligent design effort) and the system's recalcitrance to improvements.
When a system enters a self-reinforcing loop, optimization power becomes endogenous, and recalcitrance drops sharply. This leads to an intelligence explosion