“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.