AI, technology, education, and ideas about what comes next.
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.
ChatGPT analyses original quotes conceived around 2016, revealing why AI must preserve the humour, emotion, and human touch that make writing memorable.
Human imagination, scientific conjecture and AI hallucination all involve going beyond established knowledge—but novelty is not the same as error. Explore why discovery may require breaking familiar patterns, switching conceptual dimensions and testing possibilities rigorously.
As AI becomes more capable, the danger is not only that machines replace human work, but that society begins measuring human worth by machine standards of intelligence, efficiency and usefulness.
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.
The same AI can affect different thinkers in very different ways. It may encourage convergence in predictive use while helping generative users explore a much larger space of ideas.
Is the Idiot Box Making You Dumber?
AI may not simply replace human thinking. It could dramatically expand the ideas, possibilities and connections a human can explore.
The blog evolved from a place for personal expression into an external workspace for thinking—an intellectual archive where ideas can be planted, named, connected, revisited and allowed to grow.
The content humorously explores the unintended consequences of AI’s advancements. Initially seen as liberators, machines now handle creative tasks, leaving humans relegated to mere “Click Bots.” This ironic twist prompts reflection on human evolution, suggesting that future generations might question humanity’s contributions amidst full automation, centered on repetitive actions like clicking.
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?