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    Hey HN, I don’t know who else has the same issue, but: Textbooks often bury good ideas in dense notation, skip the intuition, assume you already know half the material, and get outdated in fast-moving fields like AI. Over the past 7 years of my AI/ML experience, I filled notebooks with intuition-first, real-world context, no hand-waving explanations of maths, computing and AI concepts. In 2024, a few friends used these notes to prep for interviews at DeepMind, OpenAI, Nvidia etc. They all got in and currently perform well in their roles. So I'm sharing. This is an open & unconventional…

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    If AI got lucky or not, AI is surely going to assist in solving serious math problems. If you want to spend your resources/weekends contributing, this repository is full of math problems where you can add your thoughts (or proofs - for you Good Will Hunting type people) for others to build on it and we all together can try to change the world of math. I have already extended the research with manual proof of Jacobian Conjecture that was posted on Twitter (with attribution).

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