Start Here: Learn AI in Plain English
New to AI? Start here. This page gives you a simple reading order so you can understand AI models without jumping randomly between articles.
The beginner route
Read these in order if you want a clear foundation before exploring advanced topics like RAG, agents, reasoning models, and AI video.
What is an AI model?
Start with the basic idea: an AI model is trained to produce outputs from learned patterns.
Read article →What are tokens?
AI does not read text exactly like people do. It breaks text into smaller pieces first.
Read article →Why does AI hallucinate?
This explains why AI can sound fluent and confident while still being wrong.
Read article →How do AI models learn?
Learn what training data does, and why training is not the same as human experience.
Read article →Why do AI models have limits?
A useful model can still misunderstand, guess, miss context, or fail outside its strengths.
Read article →What is a context window?
Understand why AI may forget earlier details in long chats or long documents.
Read article →What does reasoning mean in AI?
Learn why AI reasoning can be useful without assuming the model thinks like a person.
Read article →How should you read AI outputs?
Learn how to use AI answers without treating them as automatic truth.
Read article →After this route
After finishing these beginner articles, continue with AI Learning Paths or open the January 2026 Guide for the full first-month foundation.