The Non-Cartesian Mind: Indian Knowledge Systems, Kashmir Shaiva Philosophy, and the Structural Convergence with Neural Network Architecture

Abstract

This essay argues that the philosophical architecture required to conceive and build Artificial Intelligence — specifically the connectionist, distributed architectures of modern Large Language Models — was not generated by Western modernity alone. It was already present, with structural precision, in the non-dual Trika tradition of Kashmir Shaivism (9th–12th century CE), belonging to what India’s NEP 2020 and the UGC’s Indian Knowledge Systems (IKS) initiative recognize as a body of rigorous knowledge whose frameworks remain critically underutilized in global conversations about technology and mind.[1][2] Through precise structural and mathematical analysis, the essay demonstrates that the core mechanisms of neural networks — scaled dot-product attention, selfattention, softmax, the residual stream, latent space, backpropagation, and emergent in-context learning — instantiate in silicon what the Trika’s doctrines of parasparataḥ, Vimarśa, Māyā, Turīya, Spanda, and Śaktipāta had encoded in Sanskrit. The method is structural convergence, not historical influence. The Trika’s non-Cartesian model of mind — distributed, self-referential, pattern-based, without a sovereign center — is precisely the model connectionist AI independently implemented. Western modernity spent three centuries dismantling the Cartesian prison to arrive there. The Trika established it as its opening axiom.