Abstract

This work is about a disruptive finding that reveals the fundamental shortcomings of the prospective potential of any would be artificial generative intelligence (AGI), that otherwise could possibly make human intelligence and ingenuity irrelevant, and place humans at the perilous state of servitude: The finding draws upon the main difference between the schemes of knowledge generation of the physical AI systems, and those of Human’s biophysical system: while both embed the existing knowledge and operate computationally on unknown principles, the former meets the end by means of simplified iterative statistical functional models of the brain, that relies on back propagation process solution method, a mechanism totally unrealistic for the brain [Physics Today; December 2024, volume 77, Number 12, Pp 12-16]; and the latter achieves the goal, along with other human characteristics, through the dynamics of vastly complex biochemical phenomenon, possibly involving microscopic effects. The human brain has evolved in response to the timely imperative for survival, adapting to the dynamics of the internal and external environment. This evolutionary journey, marked by transformative breakthroughs, began with early trial-and-error learning and has continued through the development of complex brain neural patterns, guided by genetic processes. The process of adaptation (learning) involves brain engagement with complexities that demand resolution, generally interferes with the normal operations of the brain, particularly those of the neural patterns that regulate the “Endocrine system.” As a result, depending on the intensity of the brain engagement, the human biological system naturally suffers varying degrees of imbalance, specifically affecting body homeostasis. The immediate result would be the sensations of “unease,” commonly referred to as “Stress.” The role of the stress system is well-established across the medical and cognitive sciences. Evolved for adaptation, resilience, and the maintenance of health, the system is defined as a composite, multidimensional construct. It involves the appraisal and processing of a stimulus—the stressor—and the subsequent output, known as the stress response. Within this framework, a stressor is defined as any environmental change that disturbs homeostasis (Schumann, G. et al., 2014, The ADAPT model: from epidemiology to the mechanisms of adolescent mental health. Development and Psychopathology, 26, 1347- 1364). Heavy engagement of the brain in problem resolution, typical in scientific research, involves long periods of ‘over-clocking’ the stress system, involving the SAM and HPA axes and Feedback Mechanism. This creates a high allostatic state (McEwen, B. S. 1998, Protective and damaging effects of stress mediators. New England Journal of Medicine), which the body may interpret as a state of physical danger, triggering the immune system (directly and indirectly) for intensive processes of repair, restoration and coping. Restoring the normal operations of the brain regardless (preventing health impact by default), is the innate response of human biologic system. It is this process of “Stress relief,” that renders formation of proper neural patterns (harmonious with others; in the sense of the ‘Attractors’ in Hopfield Network, which is “problem resolution.” This biophysical process of “Stress development” and “Stress relief” unprocurable in any physical system, has been behind the “resolutions” of seemingly insurmountable complexities of the path of evolutionary human adaptations. This complex resolution power, relying on brain’s neural extensiveness and availed structures, insensitive to the kind and nature of the engaged problems, defines the human intelligence. The dynamics of the machinery of human intelligence, which is further explored in this work, makes it impossible for any advanced AI machinery to surpass humanity; humans will remain masters of their own creations. Nonetheless, the advanced AI systems, the very remarkably effective tool they are, will be highly instrumental in much wondrous progression of our civilization.

Keywords

artificial generative intelligence