The Iliad Intensive Course Materials

We are releasing the course materials of the Iliad Intensive, a new month-long and full-time AI Alignment course that runs in-person every second month. The course targets students with strong backgrounds in mathematics, physics, or theoretical computer science, and the materials reflect that: they include mathematical exercises with solutions, self-contained lecture notes on topics like singular learning theory and data attribution, and coding problems, at a depth that is unmatched for many of the topics we cover. Around 20 contributors (listed further below) were involved in developing these materials for the April 2026 cohort of the Iliad Intensive.By sharing the materials, we hope to create more common knowledge about what the Iliad Intensive is;invite feedback on the materials;and allow others to learn via independent study. We are developing the materials further and plan to eventually release them on a website that will be continuously maintained. We will also add, remove, and modify modules going forward to improve and expand the course over time. When we release a new significantly updated version of the materials, we will update this post to link the new version.ModulesThe Iliad Intensive is structured into clusters, which are a loose collection of related topics, which decompose into modules that are taught within one day. Each module consists of learning outcomes, prerequisites, and the content itself, including a fast-track and pointers for how to learn more. Sometimes, a teaching guide is added that explains how the content was taught during the April Intensive if this seems sufficiently informative.We now summarize each cluster and module. You can find the main content in the linked tabs of the main google doc.0 Prerequisites. This module collects what is useful to know before engaging with the materials. It points to writings that inform a background worldview — why AI matters, and safety risks — and then lists the technical prerequisites: deep learn