AI, technology, education, and ideas about what comes next.
AI & Human Intelligence begins with Book I: The Augmented Mind—a three-part exploration of artificial intelligence, human intelligence, and how AI may change the way we think.
AI can reason brilliantly inside the wrong frame. From the counterfeit-cap puzzle to the bat-and-ball problem, the deeper challenge is not merely solving a question but recognizing whether the question itself deserves to be solved.
The same technology can amplify independent thinking—or accelerate cognitive outsourcing. AI may not produce one uniform cognitive future. It may widen the distance between people who use intelligence tools to think further and those who use them to think less.
AI can produce answers that look like understanding. But the deeper test is whether it can transfer concepts, detect contradictions, recognize boundaries, manage uncertainty, and connect different forms of intelligence.
AI companies are approaching a turning point: remain providers of powerful research tools, or become intellectual institutions that discover and commercialize ideas themselves. The difficult territory lies between the two.
AI may be more than an artificial mind. It may be a new architecture of intelligence: structural, cross-domain, persistent, reusable—and capable of amplifying human thought.
If AI can teach you almost anything, why go to college?
AI is not merely automating work. It is reducing the organizational scale required to create, build, publish, and compete.
AI can advance at software speed while infrastructure, institutions and economies move at different speeds. The real challenge is not slowing intelligence, but building systems capable of absorbing it.
Why P vs NP may resist increasingly powerful AI and computation: the deeper challenge may be discovering structural principles that eliminate exponential search rather than merely searching faster.