Abhyasa: Deliberate Practice in Machine Learning

Abhyasa, Patanjali's concept of continuous, dedicated practice over time, is the foundation of yogic transformation. Applied to AI and knowledge systems, abhyasa reveals why machine learning requires millions of iterations, not shortcuts. The future of knowledge depends on understanding that mastery—whether human or artificial—emerges through sustained, purposeful repetition with clear intention. Patanjali emphasizes that abhyasa must be practiced for a long time, without interruption, and with sincere devotion to transform consciousness. This directly parallels the requirements of training robust AI models: consistency across datasets, continuity in learning objectives, and devotion to quality. The concept challenges the myth of overnight AI breakthroughs, instead grounding knowledge development in patient, methodical refinement. When organizations and AI systems practice abhyasa—committed, focused iteration—they develop genuine understanding rather than surface-level pattern recognition that fails under novel conditions.