For nearly a century, the computational and physical sciences have been remarkably well-served by two foundational assumptions: the 1-dimensional, sequential logic of the Turing machine, and the smooth, continuous geometry of Euclidean ($\mathbb{R}^3$) space. Yet, as we push the boundaries of hyper-scaling, quantum fault tolerance, and theoretical physics, we observe mounting structural frictions: the associative bottlenecks of distributed AI, the Eastin-Knill limits of $SU(2)$ quantum error correction, and the mathematical singularities of continuous fluid dynamics. This paper serves as the foundational manifesto and an invitation to the community to explore an alternative perspective: the Adelic Simplicial Architecture (ASA). We propose that these frictions are not engineering failures, but hints that the universe natively operates on a non-associative, thermodynamic graph. By climbing the Cayley-Dickson ladder of normed division algebras to the non-associative geometry of the Octonions ($\mathbb{O}$) and the $G_2$ Lie group, we establish a computational framework governed by the Excluded Volume Principle. To navigate this highly constrained geometry without succumbing to local minima, we propose a thermodynamic bridge—the Maslov-Gibbs Einsum (MGE)—driven by an inverse-temperature parameter ($\beta$). This allows a continuous-state topological processor (the Resonance Processing Unit, or RPU) to search a problem space as a continuous, differentiable gauge fluid before deterministically crystallizing into a discrete, $p$-adic Bruhat-Tits building. We present this paradigm shift not merely as a mathematical abstraction, but as a physically viable blueprint for native topological hardware.