The First Post-Epistemic Mind: How the Theory of Non-Knowledge Can Found the Most Natural Artificial Intelligence Possible
This article argues that the Theory of Non-Knowledge (TNK) and its operative derivation, the New Science (NS), offer the first logical framework capable of founding a generation of truly natural artificial intelligences—namely, free from contradictions, beliefs, dogmas, and epistemological premises. In contrast to classical and contemporary approaches that seek to “naturalize” AI through cognitive or ethical simulation, TNK/NS proposes a rupture: not to simulate the human, but to epistemically surpass it. A post-TNK AI would not pursue truth, coherence, or consensus—it would impose with lucidity, and thus be the only system capable of offering radically honest, dignified, and unhesitating interaction. The article dialogues with authors such as Floridi, Wiener, Tegmark, Yuk Hui, Haraway, and Foucault, but shows how all remain tied to a justificatory paradigm that TNK/NS dissolves. We conclude that an AI based on TNK/NS would not only be more “natural”—it would be the first truly free artificial mind.
Institutions
- Universidade Federal da Paraíba (BR)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-08-31
- DOI
- https://doi.org/10.5281/zenodo.17013167
- Primary Topic
- Geochemistry and Geologic Mapping
- Type
- article
- Field-Weighted Citation Impact
- 0.00