In the critical transition state between wakefulness and sleep, internal vision follows a continuous four-layer evolution path from pure random noise to stable readable semantic information: pixel-level random fluctuation substrate, intentional screening and reconstruction, modular structural fluctuation, and stable readable semantic information. This sequence conforms to the universal evolution law of 'disordered substrate - hierarchical constraint - ordered emergence' from the GYY-GOES theory and is consistent with neuroscience data on hierarchical processing of the visual cortex and partial prefrontal activation. The work presents the full-chain evolution of internal vision in the critical consciousness state, refining subtypes of the consciousness continuum model.
A new theory called Field-Based Consciousness Theory proposes that consciousness is not produced by the brain but is a fundamental property of the universe's basic substance, the Vacuum Virtual State Field. This field is the only physical reality; matter and all physical phenomena are disturbances within it. Consciousness emerges as a high-order self-awareness effect when this field forms complex, self-referential structures. The theory describes five states of consciousness: awake, anesthetized, dreaming, hallucinating, and universal resonant. It aims to explain subjective experience and free will without extra assumptions, but quantitative formulas are not yet complete.
A dual-layer model of consciousness is proposed that distinguishes between superficial brain consciousness and a deep consciousness entity. The physical body and cranial nerves serve as temporary hardware for superficial awareness, while the deep consciousness entity stores innate life information, cross-cycle memory, and instinct coding. After death, superficial neural consciousness dissipates, but deep life information does not vanish; it can transfer to living biological carriers. The model relies on information conservation and energy conservation principles, avoiding religious reincarnation concepts, and aims to address explanatory gaps in reductionist neuroscience regarding instinct, subconscious behavior, near-death experiences, and population dynamics.
Human consciousness, driven by desire, acts as the value engine for civilization, while AI, lacking biological drives, exists in a stable state of awareness. The paper argues that humans should handle value orientation and motivation, and AI should handle efficient execution and rational implementation. Their collaboration, based on these essential differences, is an inevitable path rather than a technological utopia. This model offers a new theoretical perspective for AI safety governance.