MIT just dropped its full AI curriculum—12 courses, from introductory machine learning to advanced neural network theory—online at no cost. One user grabbed every lecture, assignment and reading list and fed the entire set into Claude, the Anthropic language model. The result isn’t a simple Q&A bot but what they call “a completely rebuilt research system.” By merging MIT’s structured syllabus with Claude’s ability to synthesize, you get instant summaries of complex papers, code snippets that follow best practices, even explanations of proofs step by step. According to Dami-Defi (@DamiDefi), this combo feels like having a top-notch research assistant who already digested an elite AI degree. Beyond speeding up literature reviews, it points to a future where open educational resources and advanced LLMs join forces. No more trawling forums or piecing together scattered lectures. Everything—from gradient descent derivations to transformer architectures—lives inside one interactive model.