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For centuries, the cultural consensus defined the pinnacle of human intellect through the lens of combinatorial abstraction. We looked to the Grandmasters of Chess and Go as the terrestrial gods of reasoning, operating on the assumption that the ability to navigate deep decision trees and recognize complex tactical motifs was the ultimate test of a
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The prevailing eschatology of the artificial intelligence boom has long been dominated by the binary of the Singularity: either the machine becomes a god, rendering all human labor economically valueless, or it remains a mere tool, subservient to human command. This dichotomy, however, has obscured the far more specific and brutal reality emerging in the
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For the better part of a century, the Western intellectual and industrial tradition has been defined by the triumph of abstraction. From the post-war economic order to the architecture of the transistor, the prevailing ethos was one of “Algebraic” universalism. The goal was always to build a machine, be it a mathematical framework, a semiconductor
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The prevailing orthodoxy in contemporary artificial intelligence posits that the path to general intelligence is paved with parameters. This view, dominated by the scaling laws of major research laboratories, operates on the assumption that sufficiently expanding the quantitative dimensions of a model, increasing compute and training data , will inevitably yield a qualitative phase shift
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The conquering of the chessboard by Deep Blue and the Go board by AlphaGo fostered a pervasive cultural narrative that artificial intelligence had surpassed human cognition in strategic domains. However, this triumphalism overlooks a critical epistemological distinction between the closed systems of board games and the chaotic, stochastic reality of real-time strategy (RTS) environments. While
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The epistemological architecture of the twentieth century was constructed upon a singular, unexamined wager: that the highest form of intelligence is the ability to compress the messy, chaotic texture of reality into clean, linear frameworks. From the structuralism of the Bourbaki group to the grand unifying taxonomies of theoretical physics, we built a prestige economy
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There exists a quiet, cynical crisis within the upper echelons of modern mathematics, particularly within the Western tradition of high abstraction. To the uninitiated, the field appears as a monolith of rigorous truth-seeking, a discipline where credit is assigned with absolute precision. However, insiders who have navigated the sociological currents of academia for sufficient time
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For the better part of a century, the economic architecture of the developed world was predicated on a specific, industrialized bet: that the reduction of variance was the primary driver of value. For seventy years, the path to professional security lay in the cultivation of “Conscientiousness” – specifically its sub-facets of orderliness and dutifulness –
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For most of the late twentieth century there was an implicit truce between technical people and the institutional order that surrounded them. The arrangement was simple and stable. The engineers, mathematicians, and quiet problem solvers stayed in the basement keeping the servers, grids, and abstractions running. The managers, lawyers, and administrators stayed upstairs, took the
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Mathematics often advances by a prior about compressibility. Some investigators trust that with the right abstractions the world can be funneled into an additive and exact environment where one can add and subtract, take kernels and cokernels, and push information through functors without losing control. Others trust that essential difficulty lives in nonlinear and metric
tensorgami 