In the fourth installment of our Moonshot Podcast Deep Dive video interview series, X’s Captain of Moonshots Astro Teller sits down with Andrew Ng, the founder of Google Brain and DeepLearning.AI, for a conversation about the history of neural network research and how Andrew’s pioneering ideas led to some of the biggest breakthroughs in modern-day AI. Hear about the origins of Google’s deep learning work, how Andrew’s teenage frustrations led him to pursue a career in machine learning and automation, and the work that led up to Google Brain’s infamous “cat video” paper. For more on X’s AI moonshots, check out Andrew on Episode 3 of The Moonshot Podcast, “Machines That Think”: https://www.youtube.com/watch?v=_jLPA8Qpc74

00:00 - Introduction 03:30 - Andrew’s groundbreaking early theories about neural networks 08:16 - Why Andrew came to X with his ideas 10:30 - The unlikely history of neural network research 15:25 - Jeff Dean as Andrew’s “partner in crime” 17:16 - The origins of Google Brain’s neural networks 18:32 - Google Brain’s evolution in and out of hardware 22:01 - Google Brain’s innovation around transformers 24:36 - Google Brain’s earliest leaps forward in AI 28:24 - Google Brain’s graduation from X into Google 31:50 - What Andrew is up to these days 34:07 - Where the AI and machine learning field is going 35:19 - Andrew’s passion for education 36:51 - Why Andrew became interested in AI as a teenager 37:53 - AI’s democratizing effect on humanity 41:34 - How Andrew defines the term “artificial intelligence” 43:51 - Google Brain’s “cat video” coming out moment 45:51 - AI’s potential positive impact on the workforce 47:17 - Andrew’s favorite aspects of moonshot-taking

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