Andrej Karpathy is a legendary AI researcher, engineer, and educator. He’s the former director of AI at Tesla, a founding member of OpenAI, and an educator at Stanford. Please support this podcast by checking out our sponsors: – Eight Sleep: https://www.eightsleep.com/lex to get special savings – BetterHelp: https://betterhelp.com/lex to get 10% off – Fundrise: https://fundrise.com/lex – Athletic Greens: https://athleticgreens.com/lex to get 1 month of fish oil EPISODE LINKS: Andrej’s Twitter: http://twitter.com/karpathy Andrej’s YouTube: http://youtube.com/c/AndrejKarpathy Andrej’s Website: http://karpathy.ai Andrej’s Google Scholar: http://scholar.google.com/citations?user=l8WuQJgAAAAJ Books mentioned: The Vital Question: https://amzn.to/3q0vN6q Life Ascending: https://amzn.to/3wKIsOE The Selfish Gene: https://amzn.to/3TCo63s Contact: https://amzn.to/3W3y5Au The Cell: https://amzn.to/3W5f6pa PODCAST INFO: Podcast website: https://lexfridman.com/podcast Apple Podcasts: https://apple.co/2lwqZIr Spotify: https://spoti.fi/2nEwCF8 RSS: https://lexfridman.com/feed/podcast/ YouTube Full Episodes: https://youtube.com/lexfridman YouTube Clips: https://youtube.com/lexclips SUPPORT & CONNECT: – Check out the sponsors above, it’s the best way to support this podcast – Support on Patreon: https://www.patreon.com/lexfridman – Twitter: https://twitter.com/lexfridman – Instagram: https://www.instagram.com/lexfridman – LinkedIn: https://www.linkedin.com/in/lexfridman – Facebook: https://www.facebook.com/lexfridman – Medium: https://medium.com/@lexfridman OUTLINE: Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time. (00:00) – Introduction (05:41) – Neural networks (10:45) – Biology (16:15) – Aliens (26:27) – Universe (38:18) – Transformers (46:34) – Language models (56:45) – Bots (1:03:05) – Google’s LaMDA (1:10:28) – Software 2.0 (1:21:28) – Human annotation (1:23:25) – Camera vision (1:28:30) – Tesla’s Data Engine (1:32:39) – Tesla Vision (1:39:09) – Elon Musk (1:44:17) – Autonomous driving (1:49:11) – Leaving Tesla (1:54:39) – Tesla’s Optimus (2:03:45) – ImageNet (2:06:23) – Data (2:16:15) – Day in the life (2:29:31) – Best IDE (2:36:37) – arXiv (2:41:06) – Advice for beginners (2:50:24) – Artificial general intelligence (3:03:44) – Movies (3:09:37) – Future of human civilization (3:13:56) – Book recommendations (3:20:05) – Advice for young people (3:21:56) – Future of machine learning (3:28:44) – Meaning of life

Andrej Karpathy, a founding team member of OpenAI and former Senior Director of AI at Tesla, dives into the intriguing world of self-driving cars, comparing Tesla and Waymo's methodologies. He reveals the technical challenges facing autonomous vehicles and shares insights about Tesla's Optimus humanoid robot. The conversation explores the future of human-AI integration and highlights his new venture, Eureka Labs, which focuses on AI-driven education. Karpathy emphasizes the importance of math, physics, and computer science in preparing future generations for a tech-driven world.

Andrej Karpathy, a leading AI researcher, shares his journey toward automated intelligence, providing fascinating insights into the evolving landscape of AI. Ilya Sutskever discusses his involvement in a significant $1B funding round for Safe Superintelligence, highlighting its potential impact on the field. The conversation also covers the launch of ProblemsGPT, a new tool for business problem-solving, and explores the transformative benefits of generative AI across various industries, kicking off discussions about workforce evolution and ethical considerations in AI development.

Conversation about recent breakthroughs in AI from the guy that is involved with you doing full on hand gestures while driving your Tesla.

AI expert Andrej Karpathy discusses rebranding AI as IA and the importance of language in the AI conversation. The podcast also explores the integration of OpenAI's chat TPT into Volkswagen cars, Deloitte's chatbot rollout, and controversy over AI in marketing materials. It delves into the negative consequences of AI use in marketing and the geopolitics of AI, including the global AI arms race.