To be hired in a top AI position—especially at elite labs like OpenAI, DeepMind, Meta AI, or Safe Superintelligence Inc.—you don’t just need to be smart; you need to be strategically superintelligent in the way you learn, build, and signal your capabilities. Here’s a step-by-step roadmap to become “super-intelligent” and land a top AI role: --- 🧠1. Master the Right Foundations 🔹 Mathematics (Core of AI) Linear Algebra (Matrix operations, eigenvectors) Probability & Statistics (Bayes, distributions) Calculus (Derivatives in optimization) Optimization theory (Gradient descent, convexity) 🔹 Computer Science Data Structures & Algorithms Programming Mastery: Python is non-negotiable. Learn libraries like NumPy, PyTorch, JAX, and TensorFlow. --- 📚 2. Deeply Understand AI / ML / DL Learn from the best: 📖 Deep Learning Book by Ian Goodfellow 📖 Mathematics for Machine Learning by Deisenroth 🎓 CS231n (Stanford) – Convolutional Networks 🎓 MIT 6.S191 – Introduction to Deep Le...
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