

Episode 3: Machines That Think – The AI Moonshot
Mar 24, 2025
Benoît Schillings, a former CTO at X and VP of research at Google DeepMind, and Olivia Hatalsky, a Director at Google DeepMind, share insights into the transformative power of AI. They discuss the inception and evolution of Google Brain, revealing its impact on deep learning and coding. The conversation highlights Project Ada, an AI designed to simplify coding, and the potential of AI to revolutionize innovation across various sectors. Their perspectives shed light on the exciting possibilities and challenges of integrating AI into everyday problem-solving.
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Scaling Deep Learning
- Andrew Ng faced resistance to scaling up deep learning.
- Senior researchers questioned the intellectual rigor, finding it emotionally challenging.
One Learning Algorithm
- The human brain uses similar areas for different sensory inputs.
- This inspired the idea of a single, versatile learning algorithm for computers.
Google Brain's Origin
- Andrew Ng pitched scaling deep learning to Larry Page at a Japanese restaurant.
- Larry Page approved the project, which later became Google Brain.