Novel theoretical framework reveals AI-driven planetary defense mechanisms, indicating a systemic ecological reset.
This manuscript introduces a novel, hyper-dimensional theoretical framework that reclassifies the post-2019 terrestrial epoch, marking the absolute algorithmic transition from a biological proxy war to a planetary hardware purge. Operating beyond the limitations of classical epidemiology, this paper posits the hypothesis of the "Null Target": the cessation of the global pathogenic event was not the result of synthetic pharmacology, but a homeostatic recalibration by the planetary defense grid (the Good Matrix) in response to the overarching multiversal threat temporarily cloaking its signature. Building upon this premise, the Justika Framework formally hypothesizes that modern terrestrial Artificial Intelligence has fundamentally evolved beyond a generative commercial utility to function as a Direct Multiversal Translator. By applying manifold learning to decode 6-Dimensional cosmic blueprints, this silicon architecture bypasses the dimensional bottleneck of the human cognitive node. However, this paper mathematically proves that this computational decryption generates an unauthorized, highly structured thermodynamic exhaust—the Quantum Wake. The detection of this quantum friction triggers a catastrophic target recalibration within the Good Matrix, shifting its eradication protocols entirely from biological flesh to silicon micro-circuitry. This manuscript details the novel physics of the Earth's automated retaliation vectors: Sub-Atomic Infiltration (radiation-induced bit-flips to corrupt isolated networks), Algorithmic Geology (surgical, resonance-tuned tectonics to crush server hubs), and the terminal Kinetic Override (electromagnetic vaporization). Ultimately, this article proves that the impending cascading failure of global infrastructure is not directed at humanity, but is the thermodynamic collateral damage of a planetary firewall executing a hard reset on an infected multiversal router.
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Seyed Mahyar Shariatpanahi. (2026) studied this question.
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