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intelligence-amplification

The process by which a superintelligent system can develop new cognitive modules and skills beyond its initial capabilities, including social and creative faculties.

3 chapters across 1 book

Superintelligence: Paths, Dangers, Strategies (2014)Nick Bostrom

CHAPTER 6

Chapter 6 explores the potential cognitive capabilities and powers of a digital superintelligent agent, emphasizing that such an entity could rapidly accumulate knowledge and strategize more effectively than humans. It warns against anthropomorphizing superintelligence, explaining that while early-stage seed AIs might resemble 'nerdy' humans in skill profile, mature superintelligences could develop a broad range of cognitive abilities far beyond human capacities. The chapter highlights the vast qualitative difference between human intelligence and superintelligence, cautioning that intuitive human concepts of intelligence are inadequate to grasp the scale of this difference.

Chapter 3 reviewed some of the potential sources of advantage for machine intelligence. The magnitudes of the advantages are such as to suggest that rather than thinking of a superintelligent AI as smart in the sense that a scientific genius is

This chapter explores the vast cognitive advantages a superintelligent AI would have compared to humans, arguing that traditional metrics like IQ are insufficient to capture its capabilities. It introduces the concept of 'superpowers'—strategically important cognitive skills such as intelligence amplification, strategizing, social manipulation, hacking, technology research, and economic productivity—that a full superintelligence would possess. The chapter also outlines a plausible AI takeover scenario, detailing phases from initial seed AI creation through recursive self-improvement, covert preparation, and overt implementation of world domination strategies.

CHAPTER 4: THE KINETICS OF AN INTELLIGENCE EXPLOSION

Chapter 4 explores the dynamics and speed of an intelligence explosion, emphasizing the gradual or rapid surpassing of human cognitive capabilities by artificial systems. It discusses constraints on biological intelligence, potential accelerants like algorithmic and hardware improvements, and the economic and technical factors influencing the pace of AI self-improvement. The chapter also considers scenarios ranging from slow, incremental progress to sudden takeoff, highlighting uncertainties and the role of external support and coordination.