AI, technology, education, and ideas about what comes next.
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.
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.
If AI can provide extraordinary knowledge and tutoring on demand, education may shift from training workers toward training minds, curiosity, judgment and lifelong learning.
Flat Earth is a useful case study in how an old cosmological belief can accumulate historical authority, observations, experiments, scientific terminology and institutional distrust until it begins to look like a scientific system.
When AI enters mathematics, the challenge is not only whether machines can solve difficult problems, but what happens to discovery, attribution, provenance, and the human mathematical ecosystem.
What happens if ASI succeeds? This thought experiment explores how abundance, automation and AI dependence could affect human agency, meaning and purpose.
AI could shift education from a fixed four-year journey to a continuous, adaptive capability system in which people learn, demonstrate, work and keep learning.
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.
As AI makes knowledge and cognitive production abundant, the bottleneck may move upward—from knowledge to awareness, judgment and agency.
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.