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.
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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
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