#333 – Andrej Karpathy: Tesla AI, Self-Driving, Optimus, Aliens, and AGI
Lex Fridman Podcast
You need 10k hours to become an expert
The key advice for beginners interested in machine learning is to focus on accumulating 10,000 hours of deliberate practice. It doesn't matter where the hours are spent or if some time is wasted, as long as there is a commitment to putting in the time and effort. The concept of putting in 10,000 hours provides a sense of determinism and the assurance that becoming an expert is achievable. Establishing a daily habit and forming mechanisms that maximize the likelihood of reaching 10,000 hours is essential. Comparing oneself to others in the field is harmful and counterproductive. The only comparison that matters is with oneself from the past. The emphasis should be on progress and growth. Beginners often get paralyzed by the choices and decisions they have to make, but it's important to embrace the inevitable mistakes and use them as learning experiences. Accumulating scar tissue from past mistakes increases resilience and provides valuable insights for future endeavors. The key is to focus on the quantity of work and maintain a relentless work ethic.
