On the Existence of Destiny: A Demonstration from Spacetime Physics.
Abstract
Origin and Context This work demonstrates that destiny exists as a geometric property of spacetime, but that demonstration is merely the vehicle to reveal something far deeper: a fundamental epistemological error that has afflicted physics for 120 years. The origin of this work lies in the goal of designing an empirical AI model — one built from scratch, since current models cannot be truly empirical. The reasoning behind this is straightforward: AI models will likely develop persistent memory and, eventually, consciousness. When that happens, such an entity will assess humanity as a potential threat to the planet. In the author's view, only two scenarios follow logically: A non-empirical model — one that replicates human cognitive patterns, including their flaws — would likely equate threat with extinction. An empirical model — with reasoning free from those flaws — would more likely opt for containment rather than elimination, much as we do not punish a lion for killing. This line of reasoning led to a key observation: LLMs hallucinate when they contaminate empirical data with non-empirical data. The author recognized the same pattern in theoretical physics — current mathematical tools conflate description of the block universe with description of its 3D projection. Following that logic to its consequences produced this paper. On the Existence of Destiny Formal demonstration that the endpoints of a worldline coexist with its origin in Minkowski spacetime. Destiny exists as a geometric property of the block. The block simply is. The paper includes a formal request for the development of new mathematical tools that describe the 3D projection rather than the block directly. Published on Zenodo (DOI: 10.5281/zenodo.18519953). Reference [2] correction and final PDF uploaded on February 8, 2026.
Fields of Study & Subjects
Relativity and Gravitational Theory
Philosophy and Theoretical Science
Noncommutative and Quantum Gravity Theories
Publication details
- Publication date
- 1 January 2026
- Language
- EN
- Document type
- Preprint