Podcast Episode: AI, Intelligence, And Human Understanding
A podcast on AI, cognitive blind spots, raw intelligence and the risk that abundant machine intelligence changes how humans think.
AI, technology, education, and ideas about what comes next.
A podcast on AI, cognitive blind spots, raw intelligence and the risk that abundant machine intelligence changes how humans think.
A podcast on AI reasoning, verification, decision-making, work and what happens when machine intelligence changes the structure of organizations.
A podcast on AI, jobs, productivity and the future of work—and what humans may contribute when machines can do more of the work.
A podcast on human thinking with AI, cognitive augmentation, judgment, and the risk of becoming dependent on machine intelligence.
A podcast on universities, AI tutoring, adaptive learning and what education may become when intellectual assistance is abundant.
AI may create a new economic channel in which people contribute ideas, expertise, methods and cognitive systems to the development of machine intelligence—and potentially share in the value created.
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.