How a lesson works
Every lesson joins four things that usually live apart. The live parts update by themselves as we publish.
- 1The ideaOne question, answered at your level, with a diagram and sources.
- 2In the newsOur latest checked stories on the topic.
- 3The rulesLaws that apply, with dates, from the rules checker.
- 4On 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
From learning to answering: the ideas behind almost every AI headline, in five short lessons.
- What is an AI model?
- How are AI models trained?
- What happens when you use an AI model?
- What is the difference between open and closed models?
- 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.
- What is an AI agent?
- How agents fail: real incidents
- Prompt injection and permissions
- 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.
- How AI laws are built: bans, high risk, labels
- AI at work: hiring and monitoring
- Deepfakes and AI-made content
- Chatbots, companions and children
- 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.