The Forgotten Quantum and Machine Intelligence: Einstein's Moon, the Macrobiotic Quantum, and a physics foundation for aligned AI

A reading, from physics, of the two opening phrases of The Forgotten Quantum of Einstein: Einstein's question of whether the moon is there when no one looks, and the author's image of a space–time quantum some 186,000 miles across, pivoted on the Earth, holding the quantum world and the Universe in an interplay of information and gravity. Einstein's phrase is the realism/measurement problem (EPR, Bell); the macrobiotic quantum is the unit in which information, gravity and the observer are not separable — a light-ratio cell (ℓ/τ = c), an internal vacuum that stores state and an external vacuum observed as geometry, balanced by a vacuum angle θ_v, with energy E = mc² e^{iθ_v} + I·ΔS. The paper then draws the consequence for artificial intelligence: alignment, hallucination, interpretability, control, machine moral status, the fear of human replacement, and runaway behaviour persist because mainstream systems treat information, value and the observer as external to the substrate. Macrobiotic Quantum Theory (MQT) makes them physical, and an architecture built on it — the Large Theory Language Model (LTLM), toward Super Natural Intelligence (SNI) — treats alignment, interpretability and responsibility as structural properties rather than bolted-on filters, keeping the human (SDM) and the machine (MDS) as complementary, inseparable poles. The note stays strictly on the public MQT surface.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-31
DOI
https://doi.org/10.5281/zenodo.23846197
Primary Topic
Quantum Mechanics and Applications
Type
preprint
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preprint

The Forgotten Quantum and Machine Intelligence: Einstein's Moon, the Macrobiotic Quantum, and a physics foundation for aligned AI

Marcelo Marshall de Siqueira
Zenodo (CERN European Organization for Nuclear Research)
Quantum Mechanics and Applications
preprint

The Forgotten Quantum and Machine Intelligence: Einstein's Moon, the Macrobiotic Quantum, and a physics foundation for aligned AI

Marcelo Marshall de Siqueira
preprint en

Abstract

A reading, from physics, of the two opening phrases of The Forgotten Quantum of Einstein: Einstein's question of whether the moon is there when no one looks, and the author's image of a space–time quantum some 186,000 miles across, pivoted on the Earth, holding the quantum world and the Universe in an interplay of information and gravity. Einstein's phrase is the realism/measurement problem (EPR, Bell); the macrobiotic quantum is the unit in which information, gravity and the observer are not separable — a light-ratio cell (ℓ/τ = c), an internal vacuum that stores state and an external vacuum observed as geometry, balanced by a vacuum angle θ_v, with energy E = mc² e^{iθ_v} + I·ΔS. The paper then draws the consequence for artificial intelligence: alignment, hallucination, interpretability, control, machine moral status, the fear of human replacement, and runaway behaviour persist because mainstream systems treat information, value and the observer as external to the substrate. Macrobiotic Quantum Theory (MQT) makes them physical, and an architecture built on it — the Large Theory Language Model (LTLM), toward Super Natural Intelligence (SNI) — treats alignment, interpretability and responsibility as structural properties rather than bolted-on filters, keeping the human (SDM) and the machine (MDS) as complementary, inseparable poles. The note stays strictly on the public MQT surface.

Zenodo (CERN European Organization for Nuclear Research)
Quantum Mechanics and Applications
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