AI Explainers
Evergreen guides to the ideas behind the headlines. Each one answers its question in the first two sentences, then goes as deep as you want to go.
How do AI image generators actually work? A plain-English guide
From typed words to finished artwork in seconds: here is what is actually happening inside the machine.
What are AI hallucinations and why do they happen?
AI hallucinations are confident-sounding wrong answers. Here is why they slip through and what you can do about them.
What is AGI, and how close are we to it?
AGI means a machine that can learn and do almost any intellectual task a human can. Nobody has built one yet, but the debate about how close we are is very much alive.
What is a large language model and how does it work?
The plain-English guide to the technology behind ChatGPT, Claude, and every AI that seems to understand you.
What is an AI agent? A plain-English guide
AI agents are programs that can set their own mini-goals and take actions in the world, not just answer a question and stop.
What is an AI chip and why do GPUs matter so much?
AI chips are the specialized processors that make machine learning possible, and GPUs became the default engine because their design happens to match exactly what training AI requires.
What is a prompt, and does prompt engineering still matter?
Prompts are the instructions you type to an AI. Getting them right still makes a real difference, even as AI gets smarter.
What is open-source AI and how is it different?
Open-source AI puts the model's blueprints in your hands. Here's what that actually means and why it matters.
What is the difference between machine learning and deep learning? A plain-English guide
One is the broad field, the other is a powerful technique inside it. Here is exactly how they relate.