Plasticity at the Dawn of Deep Learning
Bibliographic Data
| ID | 7172467 |
|---|---|
| Authors | Stephen Dougherty (University of Agder), Steven T Dougherty (0000-0003-4877-1923, University of Agder, corresponding author) |
| Year | 2025 |
| Volume | 94 |
| Issue | 2 |
| Pages | 202-216 |
| Publication date | 2025-05-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | University of Toronto Quarterly (JOURNAL) |
| Journal identifiers | ISSN: 0042-0247 • E-ISSN: 1712-5278 |
| Publisher | University of Toronto Press Inc. (UTPress) (PUBLISHER) |
| DOI | 10.3138/utq.94.02.06 |
| OpenAlex | W4410595841 |
| Language | EN |
| References cited | 6 |
This article explores Catherine Malabou’s philosophical concepts presented in her book Plasticity at the Dusk of Writing and their unexpected relevance to the emergence of deep learning and artificial intelligence (AI). Malabou diagnoses the eclipse of traditional writing and deconstruction, replacing it with the concept of plasticity, a transformative and adaptive capacity. The article examines how Malabou’s ideas prefigure the development of large language models like ChatGPT, which embody plasticity through their dynamic neural architectures. Despite not directly addressing AI, Malabou’s work anticipates the shift toward a new form of writing and knowledge production driven by machine learning
Composite material · Plasticity · History · Italian Literature and Culture · Materials Science · Psychiatry, Mental Health, Neuroscience · Psychology
| Citation velocity | historical |
|---|---|
| Highly cited | No |