12/15/2024
In 2022, the Nobel Prize in Physics was awarded for groundbreaking work on quantum entanglement, quantum communication, and quantum computing. Drawing from these studies, we note that the spin information of particles is massless; therefore, its transmission is not bound by the speed of light. This suggests the possible emergence of a Communicatable Universe—a realm in which information can be exchanged beyond the boundaries of the Observable Universe. The crucial point here is not the relativity of relativity, but simultaneity itself. Through this simultaneity, we may be able to re-estimate the size of the universe, and perhaps even answer the question of whether the universe is infinite.
Now, let us imagine. From the perspective of immortality, humans are finite, whereas machines are, in principle, infinite. If the universe is infinite, then among the civilizations that exist, the most highly advanced ones are likely to be machine-dominant—machines being easily replicable and replaceable. If we are situated within such a civilization, it might correspond to a new definition of a simulation universe. Properly harnessed, such a civilization could serve as an immensely powerful computational resource. Here lies a clue to uncovering the infinity of the cosmos—what I would call “Proving M-Theory via AI within the Communicatable Universe.”
M-theory holds validity only in an infinite universe—for it is mathematics, and mathematics is boundless. This is a form of Neo-reductionism, for it seeks to explain the mysteries of the universe solely through mathematics. M-theory is a unified mathematical framework that combines five distinct string theories and eleven-dimensional supergravity, valid especially at scales where quantum mechanics and strong gravity meet—such as the early universe and within small black holes. Experimentally proving M-theory would require a particle accelerator larger than our solar system. It may even be easier to experimentally prove the universe’s infinity than to build such a machine.
Yet, in truth, we cannot experimentally prove the universe’s infinity—nor do we need to. To attempt such a proof would require using a Communicatable Universe AI to probabilistically monitor the results—what I call a new proof method within Revised-Normal Science. Due to the nature of AI and quantum computing, the process itself might remain opaque; we might not know the intermediate steps, yet still obtain results indicating the universe’s infinity with near-100% probability. This would not constitute complete experimental proof in the sense defined by normal science.
Historically, normal science has been deterministic, exemplified by physics, chemistry, and biology. Post-normal science, by contrast, is probabilistic, encompassing climate science, epidemiology, quantum computing, and artificial intelligence. Revised-normal science would be the crystallization of Neo-reductionism—describing the universe through mathematics, while continuously monitoring probabilistic results for the universe’s infinity using computational systems. Just as post-normal science leveraged the computational power of normal science’s theoretical frameworks, revised-normal science could likewise harness the computational capabilities of post-normal science to monitor and refine its conclusions.
Faced with the formidable wall of experimentally proving M-theory, we must present the alternative of “Revised-Normal Science & Neo-Reductionism.” I state unequivocally: beyond this, there may be no greater leap forward for humanity.
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