The Path
Learn AI from zero with a four-week roadmap that starts with useful practice, explains core ideas, and branches into user, automation, developer, or ML paths.
What is a convolutional network? Slide one 3 by 3 filter across a 6 by 6 picture by hand, watch an edge light up, run the wrong filter, get zeros, then pool it.
ML vs deep learning comes down to who picks what the computer looks at. The flowchart, the year the line was crossed with error rates, and which one to use when.
What is a neural net? Build one neuron on paper with real numbers, watch a weight move in a single training step, then see whether ChatGPT and your brain count.
What does LLM stand for? Large language model in AI, Master of Laws in law, how to tell which one you're reading, and each word of the AI meaning explained.
Why is AI bad? Each harm graded by its evidence, the risks 272 experts rank highest with their error bars, and a straight answer on whether AI lowers your IQ.
How does AI use water? Follow one prompt through the cooling tower and the power plant, then see the four published per-prompt figures beside the gallon meme.
What is AGI? The plain definition, the four versions that disagree, where today's chatbots sit on DeepMind's published scale, and the tax meaning too.
Get an AI context window explained with a packing-list metaphor, rough token conversions, what competes for space, and a practical way to manage long chats.
AI hallucinations explained in plain English, with a clearly fictional example, the reason fluent errors happen, warning signs, and a safer review method.
Learn how to fact-check AI answers by splitting claims, prioritizing names, dates, numbers, quotes, and advice, then checking each against real sources.
Can AI write a book, honestly answered by someone who publishes them. What a generated manuscript really reads like, where AI genuinely helps, and what Amazon asks you to disclose.
Learn how to use ChatGPT to write email with a three-pass method for facts, tone, and final review, plus a reusable prompt and a realistic worked example.
Learn how to use AI in daily life through a seven-day beginner routine for low-risk tasks, with privacy checks and clear decisions you should keep human.
AI tokens explained in plain English, with one visual sentence, rough word conversions, context limits, API costs, and a practical way to use fewer tokens.