AI, technology, education, and ideas about what comes next.
What happens when intelligence becomes abundant? This essay argues that the physical limits of computation, energy, infrastructure and access may matter as much as raw model intelligence in determining how useful AI can become.
A practical AI–human protocol for designing intelligent infographics: build the grayscale architecture first, preserve meaningful fills, then add minimal contextual colour only where it improves clarity.
An exploration of an unconventional Indian trading framework built around price action, market structure and distinctive Indian formations. The article examines the deeper logic of the KAKA system and how its rules could be preserved and tested systematically.
A personal research journey from the first P vs NP exploration in 2001, through the 2006 Elsevier setback and a long pause, to a renewed AI-assisted investigation in 2026.
Could AI eventually certify how well a person thinks, not just what they know? This proposed framework uses longitudinal observation to assess idea discovery, reasoning, experimentation, falsification, communication and independent research.
Intelligence is not only about what a mind knows. It is also about how the mind is organized to learn, decompose problems, build structure, explore possibilities, evaluate results and integrate experience. This article proposes a practical Mind Architecture framework and connects it to cognitive architectures and AI system design.
A real-user review of ChatGPT’s model intelligence, memory, retrieval, UI/UX and tool limitations — and why a Pro upgrade is not the obvious answer when information flow is the real bottleneck.
An archival record of an ongoing investigation: whether the human ability to see clusters, relative distance, convex hulls and nested geometric structure can be converted into formal rules that reduce combinatorial search in Euclidean TSP—and eventually illuminate the deeper P Vs NP question.
A sequel to the 2006 Euclidean TSP manuscript: reconstructing the geometric argument through one-to-one mapping, triangle inequality, four-city closure, recursive stitching, clusters, and a precise list of what is proved, what is evidence, and what still requires proof.
A 2026 formal expansion of Hemant Pandey’s 2006 P vs. NP manuscript, returning to its geometric seed—Hamiltonian paths, convex polygons and topology—and identifying the proof obligations needed to turn that intuition into a rigorous polynomial-time result.