- [[Humans tend to think in linearities and causations]] - Complex systems are characterized by numerous interacting components, feedback loops, and non-linear behaviors, making them inherently difficult to analyze and predict using traditional methods or unaided human intuition. - AI excel at identifying patterns, correlations, and causal links within large, high-dimensional datasets generated by or describing these complex systems. This improved AI-driven understanding allows for the simulation and evaluation of potential interventions, thereby enabling more targeted and effective strategies to "channel" or steer the system towards desired outcomes. AI functions as a cognitive extension, specifically augmenting our often-limited ability to think in terms of complex, non-linear interdependencies, thereby allowing humanity to better comprehend and steward the intricate systems that underpin our existence.