evolutionary-argument
The evolutionary argument posits that since natural evolution produced human-level intelligence, human-guided engineering might achieve similar or superior results more efficiently, though this is uncertain.
1 chapter across 1 book
Superintelligence: Paths, Dangers, Strategies (2014)Nick Bostrom
Chapter 2 of Bostrom's Superintelligence explores various plausible technological paths to achieving superintelligence, including artificial intelligence, whole brain emulation, biological cognition, and human-machine interfaces. It emphasizes the definition of superintelligence as an intellect vastly outperforming humans across virtually all domains, and discusses the challenges and theoretical considerations involved in creating AI, particularly through learning systems and evolutionary algorithms. The chapter critically examines evolutionary arguments for AI feasibility, highlighting the computational complexity and unknown efficiency gains in replicating or surpassing natural intelligence.