Ubiquitous, not universal: the limits of AI scaling
Abstract
Nature spent 10^25 to 10^40 learning instances to produce general intelligence. Current AI performs roughly 10^7 gradient updates. This book measures the eighteen to thirty-three order of magnitude gap, identifies the constraints that prevent closing it, and projects where efficiency improvements lead when capability scaling stalls.
Fields of Study & Subjects
Artificial Intelligence Applications
Psychiatry
Mental Health
Neuroscience
Domain Adaptation and Few-Shot Learning
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 2 January 2026
- Language
- EN
- Document type
- Book