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Four Cats That Explain Generative AI
This piece builds on an earlier essay I wrote, “Why We Think in Fences, Guns and Cats,” which explores why we mix ideas like Chesterton’s Fence, Chekhov’s Gun and Schrödinger’s Cat into a single mental toolbox for thinking about risk and systems. In that post, I deliberately spliced metaphors and sayings together; here, I push...Continue reading→
The Language Game We Can No Longer Keep Up With
Language has always been a human game, until now, when the machines started playing too fast for us to keep up. The Game Board Is Changing Philosopher Ludwig Wittgenstein described language as a “game,” a system of rules and practices we all instinctively navigate. For millennia, humans were the only players. Today, Large Language Models...Continue reading→
Grounding: Where Imagination Meets Understanding
For as long as we’ve been able to think, we’ve been trying to anchor our thoughts to the world around us. The ape shared knowledge through calls and gestures. The caveman etched memories into stone. The scholar built libraries to preserve truth. And now, in the age of artificial intelligence, we are once again searching...Continue reading→
The World Is a Mirror: Prompt It Well
It seems many people are trying to predict when AGI will emerge and others are arguing about LLMs. Can it reason? Is it conscious? Or is it just spitting out the next word? (It’s just spitting out the next word – although it’s smarter than autocomplete) Meanwhile, the rest of the world is stuck in...Continue reading→
Generative AI: The Internet’s Greatest Remix
Douglas Adams once wrote: “Anything that is in the world when you’re born is normal and ordinary and is just a natural part of the way the world works. Anything that’s invented between when you’re fifteen and thirty-five is new and exciting and revolutionary, and you can probably get a career in it. Anything invented...Continue reading→
10 Shocking Stories That Prove We’re All Failing at AI Literacy (And Why Your Kids Are at Risk Too)
Real people are getting hurt because they trust AI too much ChatGPT is everywhere now. Kids use it for homework. Adults ask it for medical advice. Millions of people treat it like Google with a personality. But here’s the thing nobody talks about: AI is wrong. A lot. And when people believe it without checking,...Continue reading→
Why AI Is Obsessed with Miniature Schnauzers
The Probability Machine’s Statistical Schnauzer Bias Sometimes the most profound insights about artificial intelligence come from the most unlikely places. In this case, it’s a Miniature Schnauzer. It can help us understand something fundamental: generative AI models aren’t creative engines or intelligent artists. They’re probability machines, pure and simple. And this little grey dog with...Continue reading→
The Real Reason ChatGPT Is Smarter Than Autocomplete
It’s easy to dismiss models like ChatGPT as “just autocomplete on steroids.” But when you ask a simple question like, “Why is there a traffic jam?” the model doesn’t just guess the next word. It performs a layered, complex computation that dynamically weighs the importance of every word in your prompt. That’s attention. And it...Continue reading→
Do You Actually Want to Learn Gen AI, or Not?
There’s a lot of noise right now around generative AI. Every second headline promises transformation, disruption, or some new miracle shortcut that will “change everything.” And if you’re like most people I know, you’re either intrigued but too busy to dig in, or completely overwhelmed by the flood of tools, jargon, and hot takes. Here’s...Continue reading→
The Three Faces of Gen-AI
Is Gen-AI Game-Changing, Game-Ending, or Just a Game? Although I’m fully engaged in the world of generative AI, I don’t subscribe to any single narrative. I find it fascinating precisely because it sparks such wildly different reactions. Some see it as revolutionary. Others fear it will ruin society. And many believe it’s just smoke and...Continue reading→