Unlearning the mineral mind
Algorithmic shadows, geologic memory and the plasticity of intelligence
Bibliographic Data
| ID | 19479873 |
|---|---|
| Authors | Renzo Filinich (0000-0003-1752-0232, University of the Witwatersrand, corresponding author) |
| Year | 2026 |
| Pages | 1-10 |
| Publication date | 2026-06-03 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Artnodes (JOURNAL) |
| Journal identifiers | ISSN: 1695-5951 • E-ISSN: 1695-5951 |
| Publisher | Fundacio per la Universitat Oberta de Catalunya (PUBLISHER) |
| DOI | 10.7238/artnodes.v0i39.9900243 |
| OpenAlex | W7163421426 |
| Language | EN |
| Citations received | 1 |
| References cited | 1 |
This article develops the concept of unlearning intelligence as a critical response to the extractive, predictive and universalist paradigms shaping contemporary artificial intelligence. Rather than approaching AI as an immaterial system, it proposes understanding it as a mineralized, plastic and relational process, grounded in geological infrastructures, open to rupture and constituted through distributed socio-technical relations. Drawing on media geology, individuation, plasticity and cosmotechnics, the article introduces the notion of the fissure as a key analytical and speculative figure: a point at which extractive logics break down and alternative epistemologies may emerge. Unlearning is articulated not as negation, but as a practice of interrupting prediction, destabilizing optimization and opening intelligence to plurality. By reframing AI through its material conditions and transformative potentials, the article argues for a planetary ethics of thought grounded in technodiversity, opacity and care
Artificial general intelligence · Cognitive reframing · Plasticity · Transformative learning · Geographies of human-animal interactions · Posthumanist Ethics and Activism · Water Governance and Infrastructure
| Citations per year | 1 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |