The rapid advancement of Artificial General Intelligence (AGI) —specifically Large Language Models (LLMs) —is commoditizing human cognitive processing, precipitating a systemic crisis of identity rooted in the Cartesian conflation of self with intellect. This paper proposes that the present moment constitutes a necessary architectural inflection point: a forced transition from ego-centric to consciousness-centric identity, driven not by spiritual aspiration but by technological necessity. Drawing on the non-dual philosophy of Advaita Vedanta and the teachings of Ramana Maharshi, we introduce a formal computational model of human identity. The mind M is modeled as a discrete state machine M = (S, T, δ) of countable cardinality ℵ₀, while Consciousness C is modeled as an uncountable topological manifold of cardinality c = 2^ℵ₀. By Cantor’s theorem, no surjection from M onto C exists, and by measure theory, the Lebesgue measure of M’s embedding in C is exactly zero. We further model the ego (I-ego) as an unprovable ground axiom within the formal system F representing the mind. By Gödel’s First Incompleteness Theorem, F cannot prove its own foundational axiom from within itself. From these formal structures, we derive three further results. First, by Brouwer’s Fixed Point Theorem, any continuous self-referential prediction system must generate a stable self-representation (F̂) —making ego formation a topological necessity rather than a contingent error. Second, the ownership attribution of mental events—why thoughts feel self-generated while heartbeats do not—is formalized through a prediction cone Π (F) and proximity metric d (e, F̂), showing that intimacy gradients are artifacts of the prediction architecture rather than ontological boundaries. Third, post-recognition functioning is formalized through spectral decomposition: F̂ transitions from an identity operator to a projection operator P, decomposing C = image (P) ⊕ kernel (P), with three failure modes—re-collapse, partial projection, and nihilistic misreading—following directly from the operator algebra. Finally, we argue that large language models constitute an epistemological forcing function of unprecedented character: by producing outputs indistinguishable from F̂’s outputs while provably possessing no F̂, LLMs empirically falsify the Cartesian premise that thought requires a thinker, removing the primary evidentiary basis for F̂ = C. A testable prediction follows: epistemological disruption to egoic identity should be concentrated in populations who understand LLM architecture, independent of economic displacement effects.
Aharon Avitzur (2026) studied this question.