AI, technology, education, and ideas about what comes next.
Does an average IQ place a limit on what a person can understand? This article explores IQ, knowledge, abstraction, cognitive distance, teaching, and the role of mental models in understanding difficult ideas.
IQ matters, but it is not destiny. Research suggests that success emerges from the interaction of cognitive ability, execution, education, environment, opportunity, persistence, timing, luck, and compounding.
AI may eliminate millions of IT jobs, but job loss is not the same as economic collapse. The real questions are productivity, output and income distribution.
AI could shift education from a fixed four-year journey to a continuous, adaptive capability system in which people learn, demonstrate, work and keep learning.
The same technology can amplify independent thinking—or accelerate cognitive outsourcing. AI may not produce one uniform cognitive future. It may widen the distance between people who use intelligence tools to think further and those who use them to think less.
AI can produce answers that look knowledgeable and insightful. But correct output does not necessarily demonstrate understanding. The deeper test may lie in transfer, contradiction, boundaries, uncertainty and awareness.
AI & Human Intelligence begins with Book I: The Augmented Mind—a three-part exploration of artificial intelligence, human intelligence, and how AI may change the way we think.
A Nobel economist’s new paper on automation and repression raises a disturbing question about what happens when humans become less economically necessary.
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.