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Professor Hannah Fry is joined by Jeff Dean, one of the most legendary figures in computer science and chief scientist of Google DeepMind and Google Research. Jeff was instrumental to the field in the late 1990s, writing the code that transformed Google from a small startup into the multinational company it is today. Hannah and Jeff discuss it all - from the early days of Google and neural networks, to the long term potential of multi-modal models like Gemini. Timecodes: 00:00 Intro 01:35 Early days of Google 04:54 Google search 06:49 Neural networks 13:41 Scouting DeepMind 20:45 Genesis of Google DeepMind 22:17 Transformers and multimodality 32:30 Examples of use cases 37:00 Factuality 40:25 Probabilistic computing 41:35 Long context window 44:50 How to minimize risks of hallucinations 47:14 Moving towards personalization 49:18 Future modalities 51:03 Understanding the world 52:18 Blueprint for an airplane 54:54 Outro Want to share feedback? Have a suggestion for a guest that we should have on next? Why not leave a comment and stay tuned for future episodes. ___ Search for Google DeepMind: The Podcast on: Spotify: https://open.spotify.com/show/39fjU5Q... Apple Podcasts: https://podcasts.apple.com/gb/podcast... IHeartRadio: https://www.iheart.com/podcast/269-de... Thanks to everyone who made this possible, including but not limited to: Presenter: Professor Hannah Fry Series Producer: Dan Hardoon Editor: Rami Tzabar, TellTale Studios Commissioner & Producer: Emma Yousif Music composition: Eleni Shaw Camera Director and Video Editor: Tommy Bruce Audio Engineer: Perry Rogantin Video Studio Production: Nicholas Duke Video Editor: Bilal Merhi Video Production Design: James Barton Visual Identity and Design: Eleanor Tomlinson Commissioned by Google DeepMind ___ Subscribe to our channel / @googledeepmind Find us on X / googledeepmind Follow us on Instagram / googledeepmind Add us on Linkedin / deepmind