AI, technology, education, and ideas about what comes next.
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.
AI may become smarter than humans without automatically becoming more powerful. Explore the 20-watt brain, 8 billion minds, autonomy, ownership and control.
A concise exploration of the central P vs NP distinction: efficiently verifying a proposed solution is not the same as efficiently finding one, and what that distinction may mean for mathematics and AI.
The Soft Brain Initiative proposes using AI to preserve tacit human expertise, make it scalable, respect contributor control, and carry valuable human wisdom across generations.
If AI can provide extraordinary knowledge and tutoring on demand, education may shift from training workers toward training minds, curiosity, judgment and lifelong learning.
What if an intelligent AI could expose a real but weak vulnerability, causing humans to spend their limited defensive resources patching the wrong problem?
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.
AI is moving beyond answering questions toward reproducing parts of the expert teaching process. New experiments show why pedagogical structure—not raw intelligence alone—may be the real breakthrough.
What happens if ASI succeeds? This thought experiment explores how abundance, automation and AI dependence could affect human agency, meaning and purpose.
A framework for separating AI capability, cognitive labor, work product, attribution, confidentiality, and rights—and understanding AI as a digital employee or agent.
When AI can reproduce expertise at machine scale, the economics of tutoring, education and knowledge work begin to change. What happens when intelligence becomes abundant?
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.