AI, technology, education, and ideas about what comes next.
AI can explain a problem brilliantly and still fail to solve it. Explore the gap between understanding, execution, verification, and the experience needed to turn intelligence into reliable results.
AI has made knowledge easier to access and synthesise, but not wealth easier to create. The missing link is fine-tuning: the practical judgment, experience and execution that turn intelligence into economic value.
AI can research, reason and write, but does intellectual capability create ownership? The Thinking Calculator principle separates contribution, authorship, ownership and economic value.
AI can make knowledge abundant, but not wealth automatic. Explore the links between capability, execution, premium pricing, demand and economic value.
The Speed–Drift Paradox explains why faster AI search can move further from the solution—and why evidence, adaptive compute, and purposeful design matter more than activity alone.
From mathematical breakthroughs and intellectual entertainment to cancer cures, crop yields and measurable human progress.
Can we make the structure, weight and evolution of knowledge visible through a consistent visual language? Explore NNIG’s proposed visual grammar for weighted knowledge networks, topology and change.
Superintelligence may discover extraordinary solutions—and reveal why some problems have no solution under their defining constraints. Explore physical, mathematical and epistemic limits on solvability.
How mathematical patterns, sacred geometry, numerical coincidences and esoteric symbolism can lend authority to claims that go beyond the evidence—and how to test the connections.
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.
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.