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AI path · course 123 of 184
Mechanistic Interpretability
Advanced · 6 lessons · 0 complete
A trained neural network is a black box even to the people who built it: millions of numbers that somehow produce coherent language or accurate predictions, with no obvious explanation of how. This course is about the emerging field of reverse-engineering that black box, treating a model less like an oracle to be trusted and more like unfamiliar compiled code to be decompiled, understood, and checked for what it's actually doing.
