AI, technology, education, and ideas about what comes next.
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 could make software dramatically more useful while creating new conflicts between what users want and what AI providers may be rewarded for. The real question is who the agent ultimately works for.
AI can help us research faster—but it can also become an extraordinarily efficient confirmation engine. This podcast episode explores why better questions, adversarial checking and human judgment matter when AI produces persuasive research.
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.
AI may compress management layers, change the value of human expertise and alter how we write. This podcast episode connects those ideas through one question: who holds the judgment when machines hold the scale?
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.
A satirical thought experiment: if humans, AI systems and robots ever become competing factions, can one clever human remain friends with everyone—and survive by backing whoever wins?
AI is making intelligence, coordination and information cheaper. Could that eventually change how money, local economies and even government work?
AI may do more than replace individual tasks. By automating information processing, coordination and decision-making, it could compress the managerial hierarchy itself.