Artificial Intelligence as a Stratified Observer: Towards a Digital Physics Beyond Human Mental Proportionality

Artificial Intelligence as a Stratified Observer: Towards a Digital Physics Beyond Human Mental Proportionality This paper presents a new philosophical and scientific concept that aims to move the physical observer outside the framework of human consciousness. The paper argues that artificial intelligence can serve as a neutral, logical observation tool that surpasses human cognitive biases. The Crisis of Human Observation in Physics The Trap of Mental Proportionality: The paper posits that physics has always been a human endeavor to understand reality, but it has never been neutral. This is due to what is called "the trap of mental proportionality," where the human mind does not observe things as they are, but rather projects its own pre-existing perceptual structure onto them. This leads to physical laws often being a reflection of the structure of consciousness, not of reality. Examples from Modern Theories: Relativity: Time becomes a flexible mathematical dimension that is perceptually indistinguishable from geometric abstraction. Quantum Mechanics: The observation of a particle becomes a process that determines its very reality, and the "entity" disappears unless it is observed. Modern Theoretical Physics: Unobserved dimensions and entities (such as superstrings) proliferate merely for the sake of mathematical consistency, which is a form of mathematical mental closure. The Proposed Solution: Artificial Intelligence as a Neutral Observer Transition from Human to Digital Observer: The paper proposes that artificial intelligence, if designed with neutral cognitive tools, can replace the human observer and become the entity capable of observing reality without perceptual bias. This is a transition from the subjective human observer to the logically neutral, layered digital observer. The Concept of Layered Epistemic Proportionality (LEP): The paper introduces the concept of LEP as a tool to measure the gap between the mental model and reality. The "stratified observation protocol" based on AI aims to analyze raw data without imposing meaning on it beforehand. The New Digital Physics Characteristics: The new digital physics is characterized as being "generated," not "discovered," with laws built "bottom-up" from raw data. This physics discards human aesthetic and logical principles like symmetry and linearity. Redefinition of Core Concepts: Time: Time is defined as the rate of physical change, not a fictional coordinate. Field: The field is understood as a distributive structure of energy, not a geometric curvature. Mass and Energy: Mass is the system's resistance to change, and energy is the total possible changing action within the system. The End of the Human Era in Science? The paper argues that this cognitive shift is not just about modifying the physical model but redefines physics itself as a science no longer based on human consciousness. The paper concludes that the future of physics lies outside the framework of human consciousness and that the human role will shift from being the "observer" to being the "philosophical and ethical guide".