Why Inventing Is Not the Same as Understanding
If AI begins discovering mathematics beyond human invention, does that mean humans will be unable to understand it? Discovery, verification, explanation and understanding are different abilities.
If AI begins discovering mathematics beyond human invention, does that mean humans will be unable to understand it? Discovery, verification, explanation and understanding are different abilities.
Humans may not be the endpoint of evolution. What if AI is created intelligence emerging from evolved intelligence—and awareness is its higher-order analogue of consciousness?
AI may not need to eliminate your job to eliminate the economic value of your job. The deeper disruption can begin with tasks, hiring, salaries, career ladders and ownership long before the layoff.
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.
