The fluctuations of the mind (chitta vritti) as a lens for understanding how AI systems learn, encode bias, and develop their own patterns of processing information.
Patanjali's concept of chitta vritti—the modifications or fluctuations of consciousness—reveals how both human and artificial minds become conditioned by repeated patterns. In AI training, neural networks develop their own 'mental fluctuations' through iterative exposure to data, much like how human minds crystallize habitual thought patterns. This framework suggests that understanding AI cognition requires examining not just outputs, but the underlying patterns that generate them. By recognizing these mental formations in algorithms, we can design systems with greater awareness of their own biases and limitations. This approach transforms AI development from mere optimization into a practice of mindful system design, where awareness of mental patterning becomes central to creating more transparent, less unconsciously biased artificial intelligence.
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