This offers an extensive overview of the past, present, and future of artificial intelligence and machine superintelligence, exploring various growth modes and historical AI developments. It details the "seasons of hope and despair" in AI research, from the early successes of microworld systems and GOFAI (Good Old-Fashioned Artificial Intelligence) to the later rise of neural networks and genetic algorithms following "AI winters." The discussion then shifts to possible "paths to superintelligence," including Artificial Intelligence (AI), whole brain emulation, biological cognition enhancements, and brain-computer interfaces, noting that multiple paths increase the likelihood of achieving superintelligence. Finally, the text distinguishes between three forms of superintelligence—speed, collective, and quality—and examines the profound hardware and software advantages that digital intelligence holds over biological cognition.