From neural networks to neural pathways, from the Gita to GPT — exploring intelligence at every level. Essays on AI foundations, cognitive science, philosophy, and the examined life.
Neuroscience
My interest in neuroscience grew from a simple question: how does the brain — three pounds of soft tissue — produce thought, feeling, and decision? Reading Lisa Feldman Barrett on constructed emotion, Karl Friston on the free-energy principle, and Anil Seth on perception convinced me that understanding the mind is not abstract philosophy but among the most practical inquiries a public servant can undertake. Every decision we make in administration sits on top of a particular theory of how minds reason, choose, and forget. The essays below are my notes from that ongoing inquiry.
AI · Machine Learning · Computer Science · Information Theory
A disclosure first — I do not hold an engineering degree in computer science. Everything below is an outsider's exploration, driven by curiosity rather than credential. I write to make sense of what I am learning, and to think out loud about what AI, machine learning, and information theory mean for governance, decision-making, and Indian institutions. Reader corrections, sharper framings, and disagreement are all welcome.
Essays at the intersection of AI, philosophy, and Indian governance. No promotional content.
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Views expressed are personal and do not represent the Government of India or the Government of Uttarakhand.