AI, technology, education, and ideas about what comes next.
AI is entering mathematics at unprecedented speed. The real question is not whether machines can solve problems, but who gets the credit—and whether AI enriches mathematics or turns it into a leaderboard.
AI is separating expertise from execution. As AI becomes the execution layer across domains, human value may increasingly lie in structural sense, judgment, evaluation, and knowing what should be made.
If AI reduces the amount of human labour needed to produce goods and services, the real question is not simply how to save existing jobs. It is how society should redesign work, income and economic participation.
AI capability is not the same as AI judgment. As machines become capable of producing almost anything on demand, the scarce resource may become the human ability to decide what should actually be done.
AI is becoming extraordinarily good at doing things. Yet it can still misunderstand what a person actually means. The deeper problem may not be intelligence, but judgment: knowing what matters in the first place.
As AI models become more capable, the bottleneck may shift to the human operating them. This podcast episode explores why judgment, questioning, selection and AI musicianship determine how much useful work we actually extract from powerful models.
What happens when humans try to survive a future of competing AI systems, robots and institutions? This deliberately absurd thought experiment explores the ancient strategy of playing both sides against machines with perfect memory.
What happens to human expertise when AI makes intelligence cheap and scalable? This podcast episode explores Raw Intelligence, the Evaluator Economy, writing craft, AI model differences and the changing role of human judgment.
Today’s AI is remarkably capable, but hallucination, sycophancy, reward hacking, weak scientific discovery, and limited memory reveal deeper design problems. What might the next generation need instead?
The same AI can have opposite effects on human creativity. It may homogenize predictive users while amplifying generative thinkers who use AI to explore unusual connections and ideas.