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Singh's Consciouso Optimizer is a new method for training Artificial Intelligence that focuses on making computer models vastly more energy-efficient. Right now, modern AI requires massive amounts of electrical power to run. This framework changes that by introducing natural, biological scaling laws directly into the software. Inspired by how efficiently the human brain operates, this algorithm automatically balances the network's structural size against the path information takes during training. This document provides the complete mathematical blueprint for this approach, alongside a stable, fully functional Python program written in PyTorch to prove the concept works.
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