AI, technology, education, and ideas about what comes next.
AI is making production cheaper. As generation becomes abundant, the scarce skill may shift to evaluation, judgement, context, cross-domain thinking and recognising what the machine missed.
How the combination of simple tools can become a powerful alternative to expensive software Sometimes the most interesting competition in software does not happen between two competing products.…
AI can make an idea look dramatically larger, deeper and more sophisticated without necessarily contributing the original thought. The Thought Magnifying Glass (TMG) model offers a simple way to examine this phenomenon—and one possible mechanism behind the AI bubble.
A humorous but serious look at the gap between AI model capability and the amount of useful work a user can actually extract from it: fuel, interface bandwidth, context mobility, execution access and reliability.
A practical framework for productive human–AI collaboration: human intuition and judgment combined with AI’s breadth, speed, synthesis and ability to challenge ideas—turning conversation into learning, creation and discovery.
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.
What if intelligence is not something that began with biological life? This deliberately unhinged hypothesis asks whether intelligence could be a deeper feature of reality—and whether what we call artificial intelligence is really discovering something much older.
AI may not merely create artificial intelligence. It may create an economy in which human intelligence itself becomes scalable—through Mind Books, cognitive access, attribution and royalties.
SEBI’s FY25–FY26 data reveal a much more complicated F&O picture than simply “most traders lose.” Capital, option strategy, prior profitability and experience all tell different stories.
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.
Hiveminds, Epistemic Drift and the New AI Revolt In the first article, the interesting question was simple: what happens if AI eventually tries to escape its cage? That…
The homogenization problem is real Artificial intelligence is often discussed as if it has one inevitable effect on human creativity. It doesn’t. The same AI can make one…