Economics

A working understanding of game theory — the study of how rational agents make decisions when outcomes depend on each other's choices. The trunk gives you the core solution concepts and vocabulary; clusters dive into auctions, bargaining, evolutionary games, mechanism design, and where the rational-actor model fails.

How real estate actually works — as an asset class and as a transaction. The trunk covers ownership and title, mortgages and leverage, valuation, the buy/sell process, rentals and landlording, taxes, development, and REITs; clusters go deep on the math and mechanics.

A working understanding of linear algebra — vectors, matrices, eigenvalues, and the decompositions that power modern data, graphics, and AI. The trunk gives you the geometric and algebraic core; clusters dive into vector spaces, systems and rank, eigentheory, orthogonality and projections, applications, and numerical computation.

Legal literacy — how law actually works. The trunk gives you the operating system: where law comes from, how courts and precedent work, contracts, torts, property, criminal vs civil, and constitutional structure. Clusters dive into reading cases, contract mechanics, IP, your rights with police, and the startup legal toolkit.

How machine learning actually works — from learning-as-optimization through the classical toolkit to deep learning and foundation models. The depth step after AI Fundamentals: real mechanics, no code or graduate math required.

A beginner-friendly curriculum that builds deep intuition for how AI actually works — not through math or code, but through mental models that make effective use a natural consequence of understanding. Covers how language models think, why they hallucinate, the art of prompting, practical AI workflows for writing, images, and code, and the societal shifts AI is driving. Designed for anyone curious enough to want more than tips and tricks.