Resumen
?Technological Singularity? (TS), ?Accelerated Change? (AC), and Artificial General Intelligence (AGI) are frequent future/foresight studies? themes. Rejecting the reductionist perspective on the evolution of science and technology, and based on patternicity (?the tendency to find patterns in meaningless noise?), a discussion about the perverse power of apophenia (?the tendency to perceive a connection or meaningful pattern between unrelated or random things (such as objects or ideas)?) and pereidolia (?the tendency to perceive a specific, often meaningful image in a random or ambiguous visual pattern?) in those studies is the starting point for two claims: the ?accelerated change? is a future-related apophenia case, whereas AGI (and TS) are future-related pareidolia cases. A short presentation of research-focused social networks working to solve complex problems reveals the superiority of human networked minds over the hardware?software systems and suggests the opportunity for a network-based study of TS (and AGI) from a complexity perspective. It could compensate for the weaknesses of approaches deployed from a linear and predictable perspective, in order to try to redesign our intelligent artifacts.