What ChatGPT Learned About Me Through My Interactions
I asked ChatGPT to estimate my intellectual percentile based on our conversations. Its answer revealed both unusual strengths—and a weakness that may matter more than the score.
I asked ChatGPT to estimate my intellectual percentile based on our conversations. Its answer revealed both unusual strengths—and a weakness that may matter more than the score.
When execution becomes abundant, ideas become scarce.
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?
How technology can make things better, cheaper and more accessible—while quietly changing what we perceive as valuable.
AI may become smarter than humans without automatically becoming more powerful. Explore the 20-watt brain, 8 billion minds, autonomy, ownership and control.
When technology removes the dependencies that once held civilization together, what happens to the moral constraints on power?
When AI makes basic necessities abundant but destroys the traditional pathways to wealth, will most people still have a way to climb?
AI may make intelligence abundant without making resources equal. The deeper risk is a future where people receive income to consume AI-generated wealth without owning a meaningful share of the productive economy.
A practical way to understand vibe coding: see software as a tower of connected systems, then let AI handle more of the detailed construction while you direct the architecture.
AI can create extraordinary abundance while changing the economic value of human work. The deeper question is not only what AI can produce, but who will own, earn and participate in the economy it creates.
A concise exploration of how automation and AI could change the relationship between economic usefulness, ownership, bargaining power and democracy.
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.
