AI, technology, education, and ideas about what comes next.
AI may make intelligence abundant. But if access to that intelligence remains unequal, the future could be extraordinarily good for some—and surprisingly difficult for everyone else.
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.
What happens when intelligence becomes abundant? This essay argues that the physical limits of computation, energy, infrastructure and access may matter as much as raw model intelligence in determining how useful AI can become.
AI may not simply destroy jobs. It may remove the economic ladder through which ordinary people historically climbed—and force society to rethink work, ownership, distribution, purpose and freedom.
When AI stops doing the work and starts building the thinker, the goal shifts from immediate performance to lasting human capability.
When human intelligence and AI begin thinking together, the unit of intelligence may no longer be the individual mind—but the human–AI cognitive system.
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.
What if computers evolved like nature builds complexity—by fixing the basic architecture and innovating above it? A proposal for standardized cassettes, cubes, and scalable computing infrastructure.
A real-user review of ChatGPT’s model intelligence, memory, retrieval, UI/UX and tool limitations — and why a Pro upgrade is not the obvious answer when information flow is the real bottleneck.
A sequel to the 2006 Euclidean TSP manuscript: reconstructing the geometric argument through one-to-one mapping, triangle inequality, four-city closure, recursive stitching, clusters, and a precise list of what is proved, what is evidence, and what still requires proof.