Subvolts take Understand Gemini's past and future from a Google AI legend. Sep 11, 2024 - Developers
- Learn about the foundational research and long-term vision behind Google's advanced AI models.
- Business
- Understand the strategic direction and potential applications of multimodal AI from a key leader at Google.
This episode features a foundational figure in Google's AI development discussing a major frontier AI model.
Decoding Google Gemini with Jeff Dean
Audio streams from Hannah Fry. Your place is remembered on this device.
From Subvolts
Summary and analysis by Subvolts editorial, AI-assisted.
Hannah Fry interviews Google DeepMind's Jeff Dean on Google Gemini. They discuss Dean's early work at Google, the evolution of neural networks, and the future potential of multimodal AI models like Gemini. The episode explores the foundational aspects and long-term vision for Google's AI advancements.
This podcast episode talks about Google's powerful AI, Gemini. Jeff Dean, a computer science pioneer, explains how AI has grown over time and what Gemini might do in the future, like understanding text, images, and more all at once.
This episode offers insight into the development of Google's flagship AI, Gemini, from a key figure in Google's history. Listeners learn about the journey of neural networks and the potential of multimodal AI. It's for anyone interested in Google's AI strategy and the technical underpinnings of large AI models, connecting directly to the ongoing race in frontier AI development.
- HostHannah Fry
- GuestJeff Deanchief scientist of Google DeepMind and Google Research, Google DeepMind
- Guest: Jeff Dean
- Title: Decoding Google Gemini with Jeff Dean
- Show: Google DeepMind: The Podcast
- Length: 53 minutes
- Guest Role: chief scientist of Google DeepMind and Google Research
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.
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
- Production support: Mo Dawoud
- 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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- multimodal models
- Jeff Dean
- AI that can understand and process different types of information, like text, images, and sound, all together.
- neural networks
- Jeff Dean
- Computer systems inspired by the human brain that learn from data to perform tasks.
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Questions people ask
- Who is Jeff Dean?
- Jeff Dean is a legendary figure in computer science and the chief scientist of Google DeepMind and Google Research. He was instrumental in Google's early growth.
- What will be discussed regarding Google Gemini?
- The discussion will cover the long-term potential of multimodal models like Gemini and the early days of Google and neural networks.
Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Hannah Fry.