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May 2026 · Updated Nov 2026
Ninety-nine pictures made by seven of these minds. Look slowly.
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Is there anyone in there? The strange machinery of artificial minds, five experiments a reader can run on themselves, and why the question turns out to say more about humans than about machines.
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It depends on the stage. Today’s chatbots need trillions of words to grow up, but they pick up a new skill in a minute. AI is slow to learn, quick to catch on.
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Two passages, and an AI model wrote one of them. Can you tell which? To catch AI writing, some detectors run their own AI to guess the likely words. Watermarks and editing histories are other tools in this cat-and-mouse game.
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Is it like your brain? That, and five more plain questions about the machines that talk. Why would somebody give away one that cost $100 million to make? And how do you run it on your own laptop?
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Solve the murder and you will know how artificial minds learned to think and understand our world. A plain-language guide to the transformer, the architecture they are built on.
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How does attention work in a transformer? A plain, step-by-step explanation of how GPT-2 predicts the next word, with diagrams and the real numbers from the model.
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In a few years, people and AI will live and work side by side everywhere. These 70 books, some stories and some serious forecasts, will prepare you for it.
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A bakery’s flour is late again! Its supplier, All You Knead, has a new AI agent answering customers. The agent writes back about a truck it made up. What does it take to give an agent the right facts for a real job?
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Deep learning’s most famous win is a folded protein. Its most stubborn chore is a folded shirt. In between, it names songs, forecasts weather and reads a scroll burnt in 79 AD. Look inside a dozen real deep learning networks and see how each one is built.
