artificial-intelligence-path
Artificial intelligence as a path to superintelligence involves systems designed with core features like learning, uncertainty handling, and concept formation, rather than narrow domain expertise.
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.