The End of Pretraining for Large Language Models: The Future of Agentic and AI Reasoning Beyond Peak Data
Abstract
Artificial intelligence (AI) has entered a transformative era, as traditional pretraining paradigms face the constraints of “peak data.” This article explores the implications of a “post-pretraining” era, where AI systems transcend static data dependency and evolve into agentic AI entities.
Fields of Study & Subjects
Big Data and Digital Economy
Ethics and Social Impacts of AI
Computational and Text Analysis Methods
Publication details
- Journal / source
- Computer
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Volume
- 59
- Issue
- 3
- Pages
- 60–69
- Publication date
- 20 February 2026
- Language
- EN