How a lesson works

Every lesson joins four things that usually live apart. The live parts update by themselves as we publish.

  1. The ideaOne question, answered at your level, with a diagram and sources.
  2. In the newsOur latest checked stories on the topic.
  3. The rulesLaws that apply, with dates, from the rules checker.
  4. On the mapThe companies, models and topics in the knowledge graph.

Drawing on 182 checked stories and 96 AI rules.

Learning paths

Each path is a short course. Open a path to choose your level and start; it remembers where you stopped.

Start here

How AI models work

From learning to answering: the ideas behind almost every AI headline, in five short lessons.

  1. What is an AI model?
  2. How are AI models trained?
  3. What happens when you use an AI model?
  4. What is the difference between open and closed models?
  5. Frontier models: how are they tested and regulated?

Every lesson in three levels: Beginner, Intermediate and Advanced.

5 lessons
Open the path

Coming next

AI agents and safety

What agents are, how they fail in real use, and how to decide whether to let one act for you.

  1. What is an AI agent?
  2. How agents fail: real incidents
  3. Prompt injection and permissions
  4. Is it safe to let an agent act for me? A checklist

Coming next

AI rules made simple

How AI laws work in the EU and the US, and what they ask of businesses and workers.

  1. How AI laws are built: bans, high risk, labels
  2. AI at work: hiring and monitoring
  3. Deepfakes and AI-made content
  4. Chatbots, companions and children
  5. Which rules apply to you?

Like our stories, lessons are generated by AI systems under the editorial rules of Silicon AI News and checked against the sources they list. Start with How AI models work.