Vector Theory: Epistemology, Political Economy, and Probabilistic Computation

This article introduces vector theory as a critical approach for understanding the shift from symbolic to probabilistic computation in contemporary AI systems. The paper argues that the digital turn organised meaning through discrete bits, Boolean logic, and hierarchical structures, in contrast large language models (LLMs) and diffusion architectures operate through high-dimensional vector spaces, cosine similarity, and probability manifolds. The three sections of the article examine the geometr

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ethics.ai (7 August 2026), “Vector Theory: Epistemology, Political Economy, and Probabilistic Computation,” evidence record 17487, https://ethics.ai/record/17487 (originally published by Philosophy & Technology).

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