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Abstract. This note reports a small, publicly reproducible measurement: independently trained language models, read over an arbitrary text domain, agree on the same coordinate-free relational geometry
Abstract. This note describes a publicly reproducible scaffold for re-expressing a gradient-trained LLM's internal geometry as a gradient-free quantum kernel. Quantum kernels are chosen precisely beca
Abstract This article outlines a structural and ethical framework for the development of Artificial General Intelligence (AGI). It conceptualizes AGI as a "Base Sparse Autoencoder" (Base SAE) and defi
