Sustained, conscious repetition as the foundation of mastery, reimagined for knowledge acquisition in an age of AI tutors and machine learning.
Abhyasa—persistent, deliberate practice over long time—is Patanjali's antidote to distraction and the pathway to transformation. In knowledge systems, this principle challenges the myth of instant learning through AI. True mastery requires repeated, conscious engagement with material, with attention to refinement at each cycle. AI can personalize and accelerate this process, but cannot replace the internal work. Machine learning itself embodies abhyasa: training data repeated millions of times until patterns crystallize into capability. The future of knowledge requires hybrid models where AI provides feedback, context, and adaptation, while humans supply intention, meaning-making, and the disciplined commitment to return again and again. The speed of AI should not replace the depth of practice.
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