I recommend reading the book “The romance of reality” by Bobby Azarian. It discusses how the dissipation of energy and utilization of free energy to avoid thermodynamic equilibrium is the driving force for adaptive complexity. I can see how through the understanding of steady states associated with behavioral states, researchers in AI could develop integrated circuits that maximize the function of free energy utilization and minimization of shannon entropy (uncertainty). Basically, developing systems that understand their steady state circuit configuration and having an adaptive goal driven function with the flux of “knowledge” (meaningful adaptive phylogenetic and ontogenic information) the AI could develop both hardware and software configurations that maximize its computational and information processing capability. I hope the researchers can see how the accessible steady states are a function of the free energy landscape and they define universal free energy availability as the limits; hence the AI could go through exponential evolutionary adaptation.