Research papers, investigations, explainers, videos, laws and the organizations doing the work, from people who are alarmed and people who are skeptical. New additions are checked by two people before they are listed. The launch collection was compiled with the help of AI research assistants, and every link was opened and checked on 22 September 2026.
4 works on “How does AI actually work?” · Article · clear filters
A clear written explainer of how LLMs turn words into lists of numbers, pass them through attention and feed-forward layers, and learn by predicting the next word across huge amounts of text.
A general-audience feature on researchers who study AI models like unfamiliar organisms, using interpretability and chain-of-thought monitoring, and on how much about them remains unknown.
Researchers look inside the Claude model and find it plans rhyming words ahead, shares concepts across languages, and can offer plausible reasoning that is not how it actually reached an answer.
Worth knowing: Research by the model's own developer; the authors say their tools capture only a fraction of the model's computation.
Explains what AI 'agents' are (models that choose their own steps and use tools in a loop), how they differ from fixed workflows, and why their autonomy brings higher costs and compounding errors.
Worth knowing: Written for developers by an AI company.