Abundance Has Its Own Perils
AI makes production abundant—but when output outpaces verification, attention, and discovery, genuine value can become harder to find.
AI makes production abundant—but when output outpaces verification, attention, and discovery, genuine value can become harder to find.
AI can explain why a technique works. But can it recognize when an imperfection must be preserved to create a better whole? Explore hunger, creative timing, chess, friction, and the limits of local optimization.
AI can make our work better and faster. But what happens when we outsource the thinking that develops our own capabilities? A case for using AI as an amplifier, not a substitute for judgment.
ChatGPT analyses original quotes conceived around 2016, revealing why AI must preserve the humour, emotion, and human touch that make writing memorable.
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.
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.
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?
Good writing advice is everywhere. Be clear. Be concise. Use the active voice. Avoid clichés. Prefer simple words. Cut unnecessary words. But good writing is more than following rules—it is a process of thinking, revising and discovering what you actually mean.
