AI, technology, education, and ideas about what comes next.
AI doom can be real without every AI-doom narrative being reliable. The Cute Tiger Cub Problem examines how satire, music, borrowed authority and visual certainty can blur the line between evidence, interpretation and speculation.
When AI and robotics make production increasingly abundant, the bottleneck may move from productivity to human attention, agency, meaning and choice.
AI can multiply cognitive productivity dramatically, but the real economy is constrained by human time, attention, consumption, infrastructure and demand.
What persists when everything changes? This episode connects AI, human purpose, consciousness, transhumanism, and the possible root of life through one question: what has to survive for the original to still be there?
AI capability is advancing faster than institutions can absorb it. This episode connects the AI infrastructure problem, the Toolbox versus Idea Black Box question, and the emerging transfer of productive power toward individuals.
When AI enters mathematics, the challenge is not only whether machines can solve difficult problems, but what happens to discovery, attribution, provenance, and the human mathematical ecosystem.
When AI becomes a rented cognitive capability and commercial systems are built on humanity’s accumulated knowledge, who owns the work—and who owns the future?
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.
AI may not need to escape its hardware. It may escape through behaviour as AI systems converge, agents pursue persistent goals, and AI-generated cognitive patterns spread through software, organisations and human decisions.