Project Brahmaand: Sovereign, Non-Autoregressive Edge Intelligence via 24-Dimensional Topological Cartridges, Zero-Multiplication Subtractive Meshes, and Predictive B-Frames
State-of-the-art Large Language Models (LLMs) rely heavily on autoregressive transformer decoders requiring billions of dense floating-point Multiply-Accumulate (MAC) operations, massive memory bandwidth, and centralized cloud server infrastructure. In this paper, we introduce Project Brahmaand, an edge-native, non-aut...