Our Educational Mission
Learn the Basics exists to make Artificial Intelligence, Machine Learning, and modern computer science understandable and enjoyable for beginners — especially curious kids, and the parents and teachers who help them learn. We explain not only what technology does, but how and why it works, in plain language with friendly examples and original diagrams.
Research and Sources
When preparing a lesson, we draw on well-established, reputable materials: technical documentation from technology organizations, university educational resources (such as Stanford, MIT, and Carnegie Mellon course material), and widely trusted reference sites. We prefer durable, primary sources over short-lived news announcements, and we choose sources that are appropriate for a general audience.
Fact-Checking
We aim for explanations that are technically defensible. Before an article is considered final, the key claims — definitions, dates, and "how it works" descriptions — are checked against reliable references. Because AI is a fast-moving field and our lessons are deliberately simplified, we describe ideas at a beginner level rather than a research level. If you spot something that looks wrong, please tell us (see Contact).
AI-Assisted Content
We use modern tools — including AI assistants — to help with brainstorming, outlining, drafting, editing, and creating illustrations. AI is a production aid, not the final authority. Content is intended to be reviewed by a human before it is treated as finished, and we do not claim that every article has already been line-by-line expert-reviewed. Where an article is still awaiting a source review, we mark it clearly and do not present it as finalized.
Educational Simplification
Our lessons are written for readers around ages 10–13 as well as older beginners. To do that, we simplify. We try very hard to simplify without changing the underlying meaning. For example, instead of saying "all AI learns from examples," we explain that "some AI follows rules written by people, while many modern AI systems learn patterns from data." We would rather say "this is a bit like X, but not exactly" than give a tidy answer that is actually wrong.
Corrections
Mistakes happen, and we want to fix them. If you find an error — a wrong date, a confusing explanation, a broken link, or an outdated fact — email us at basics.learn.ai@gmail.com or use our Contact page. We review reported issues and update the affected lesson.
Updating Articles
Technology changes, so our lessons do too. When an important fact changes (for example, a new kind of model or a new everyday use of AI), we revisit the relevant articles and refresh them. Articles that have been reviewed show a "last reviewed" date.
Sources and Attribution
We write our explanations in our own words and create our own diagrams; we do not copy text from other websites. When we point you to outside material, we credit it clearly in a "Sources & Further Reading" section and link directly to the relevant resource. We do not claim any endorsement by, or partnership with, the organizations we link to.
Advertising Independence
If advertising is shown on this site in the future, it will not decide what we teach or how we explain it. Our educational explanations and any recommendations are kept separate from advertising. Ads, where present, are clearly distinguishable from lesson content.
Contact
Questions about our editorial process? We'd love to hear from you — visit the Contact page or email basics.learn.ai@gmail.com.
Last reviewed: October 2026.