| Summary: | “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 <i>patternicity</i> (“the tendency to find patterns in meaningless noise„), a discussion about the perverse power of <i>apophenia</i> (“the tendency to perceive a connection or meaningful pattern between unrelated or random things (such as objects or ideas)„) and <i>pereidolia</i> (“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: <i>the “accelerated change„ is a future-related</i> apophenia <i>case</i>, whereas <i>AGI (and TS) are future-related</i> pareidolia <i>cases</i>. 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.
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