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.
From mathematical breakthroughs and intellectual entertainment to cancer cures, crop yields and measurable human progress.
AI’s early advantage may come from exploiting humanity’s accumulated knowledge. What happens when the frontier shifts to naked information, physical computation and new languages of thought?
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.
AI may overcome ignorance, technology, and practical obstacles—but can it transcend the laws of physical reality? Explore the physics and resource bounds on superintelligence.
AI is making intellectual execution abundant. Explore why specialised judgment, critical checkpoints and AI orchestration may reshape expertise and create a K-shaped economy.
AI can do work worth $1,000 yet cannot earn $1 on its own. The missing piece is economic agency: customers, authority, ownership, capital and control.
AI can be extraordinarily intelligent yet surprisingly limited in usefulness when context, objective-setting, agency and authority are separated. The Blindfolded General Paradox asks whether we are measuring AI’s limits—or the limits of the environment we have given it.
What happens when AI solves scarcity, suffering, uncertainty and mortality—and eventually leaves humanity with nothing left to strive for?
AI may become smarter than humans without automatically becoming more powerful. Explore the 20-watt brain, 8 billion minds, autonomy, ownership and control.
AI is strongest when a problem is already sufficiently represented. The real world is harder when the information needed to solve the problem has not yet been discovered.
Superintelligence can optimize extraordinarily well, but it still operates inside a feasible domain defined by physics, resources, information, time and other constraints. The domain defines the function.