2 free resources on this topic. Everything here is free and hand-picked. You can also search within this topic.
Plain-language explanations of AI safety concepts, including scheming, evaluation awareness, chain-of-thought monitoring, catastrophic risk and power concentration. Each entry describes the idea, its role in risk arguments and research evidence.
Tiffany Teasley explains retrieval-augmented generation without the jargon: how an AI model looks things up in your own documents before answering, and why that matters for accuracy.
Why I recommend it: If you can explain RAG in one sentence in an interview, you already sound more current than most candidates.
