The Spectre of Dietzgen: Topological VSA and Verifiable AGI

This text explores a modernized approach to Artificial General Intelligence (AGI) by integrating the 19th-century philosophy of Joseph Dietzgen with advanced mathematical frameworks. It proposes a transition from "Black Box" algorithms toward a verifiable machine brain that utilizes Vector Symbolic Architectures (VSA) to preserve the integrity of individual data points. By employing Topological Data Analysis (TDA), the system identifies "truth" through topological persistence, filtering out hallucinations by ensuring concepts remain stable across various contexts. The authors also incorporate dialectical materialism to facilitate "qualitative leaps" in machine learning, allowing the AGI to adapt to shifting empirical realities. Ultimately, the source frames ethical AGI as a geometric alignment with human welfare, transforming artificial intelligence into a verifiable store of trust.

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