12/21/2024
Based on the 2022 Nobel Prize–winning research on quantum entanglement, quantum communication, and quantum computing, we know that the spin information of particles is massless. This means that transmitting such information is not constrained by the speed of light, suggesting the possible advent of a Communicatable Universe—one in which information exchange can extend beyond the Observable Universe. The key here is not the relativity of relativity, but simultaneity itself. Through simultaneity, we may be able to re-estimate the size of the universe, and perhaps even answer the question of whether it is infinite.
Let us imagine. From the perspective of immortality, humans are finite, whereas machines are, in principle, infinite. If the universe is infinite, then among all living civilizations, the most advanced ones would likely be machine-dominated, since machines are easily replicated and replaced. If we are part of such a civilization, this could 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 discovering the infinity of the cosmos—what I call “Proving M-Theory through AI in the Communicatable Universe.”
M-Theory is valid only in an infinite universe—because M-Theory is mathematics, and mathematics itself is boundless. This is a form of Neo-Reductionism, for it seeks to explain the mysteries of the universe purely through mathematics. M-Theory is a mathematical framework unifying five different string theories with eleven-dimensional supergravity, valid especially in regimes where small-scale quantum phenomena coexist with strong gravitational effects—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 might even be easier to experimentally prove the infinity of the universe than to build such a device.
However, we cannot experimentally prove that the universe is infinite—nor do we need to. Proving the universe’s infinity would necessarily involve using Communicatable Universe AI to probabilistically monitor results—this being a new proof method within Revised-Normal Science. Due to the nature of AI and quantum computing, the intermediate processes may remain opaque, yet still yield results indicating, with near 100% probability, that the universe is infinite. This would not be a complete experimental proof in the sense defined by normal science.
Historically, Normal Science has been deterministic, represented by physics, chemistry, and biology. Post-Normal Science 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 has harnessed computational power to make use of the theories of normal science, revised-normal science could likewise leverage the computational capabilities of post-normal science to monitor and refine its conclusions.
Confronted with the immense challenge of experimentally proving M-Theory, we must advance 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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