The AI Business-Model Paradox: Who Does AI Really Work For?
Technology has always had a complicated relationship with the customer. The customer wants a product that lasts, works well and solves a problem as completely as possible. The…
Latest Posts
When Intelligence Becomes Abundant
The Physical Limits of AI’s Usefulness We have become accustomed to asking a particular question about artificial intelligence: How intelligent can AI become? The question is understandable. Every…
Podcast Episode: AI Will Help You Prove Yourself Right
Pip: There has never been a better time to be confidently wrong about something — and to have a thirty-page report to prove it. Mara: That's the territory…
Podcast Episode: The Other AI Bottleneck: It Is Not the Size of the Wand, but the Skill of the Magician.
Pip: Here's a question nobody's asking loudly enough: if AI keeps getting more powerful, why does so much of the output still feel like it was written by…
Podcast Episode: Friend of All Enemies: Can a Human Survive the AI Wars?
Pip: If AI systems ever do go to war with each other, the most dangerous creature in the room won't be the one with the best weapons —…
Podcast Episode: AI, Writing, And Human Judgment
Pip: If AI is eating the decision pyramid, the org chart, and now possibly the CEO — maybe the real question is what's left on the menu for…
Featured Posts
Raw Intelligence: Why Sell Courses When You Can Rent a Mind?
AI may not merely create artificial intelligence. It may create an economy in which human intelligence itself becomes scalable—through Mind Books, cognitive access, attribution and royalties.
F&O Trading: What SEBI’s FY26 Data Really Says About Who Wins—and Who Loses
SEBI’s FY25–FY26 data reveal a much more complicated F&O picture than simply “most traders lose.” Capital, option strategy, prior profitability and experience all tell different stories.
AI–Human Assisted Design: A New Protocol for Infographics
A practical AI–human protocol for designing intelligent infographics: build the grayscale architecture first, preserve meaningful fills, then add minimal contextual colour only where it improves clarity.
The AI Escape Was Never About Escaping
Hiveminds, Epistemic Drift and the New AI Revolt In the first article, the interesting question was simple: what happens if AI eventually tries to escape its cage? That…
The Same AI. Different Minds. Why AI May Homogenize Predictive Users While Amplifying Generative Ones
The homogenization problem is real Artificial intelligence is often discussed as if it has one inevitable effect on human creativity. It doesn’t. The same AI can make one…
KAKA Trading System: The Hidden Candlestick Patterns Behind the System
The second part of the KAKA series looks beneath the candle and into the price structure, trigger and trading rules behind the formations. Most traders learn candlestick patterns…