- Developers
- Learn about Google's research direction for multimodal AI assistants and their potential capabilities.
- Business
- Understand how AI assistants are evolving to integrate more deeply into user environments and daily tasks.
- Everyday users
- Discover the potential for future AI assistants that can see, hear, and understand the world around you.
This episode provides a detailed look at a significant research project from a leading AI lab, offering concrete insights into future AI capabilities.
Project Astra: Exploring a Universal AI Assistant with Greg Wayne
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From Subvolts
Summary and analysis by Subvolts editorial, AI-assisted.
Google DeepMind's podcast features Greg Wayne discussing Project Astra, a research prototype for a universal AI assistant. The episode explores Astra's inspiration, current abilities, limitations, and future uses. Host Hannah Fry tests Astra's multilingual capabilities, offering a glimpse into AI's evolving interaction with the world.
Google DeepMind is showing off Project Astra, a new AI that can see and understand what's happening around it, like a helpful assistant. It can talk to you and even understand different languages, aiming to make AI more useful in everyday life.
This episode offers insight into Google DeepMind's vision for a multimodal AI assistant that understands its environment. It's for anyone interested in the future of AI interaction, particularly how AI can become more integrated into daily life. The discussion on Project Astra aligns with the broader trend among frontier labs like Google, OpenAI, and Anthropic to develop more capable and context-aware AI systems.
- HostHannah Fry
- GuestGreg WayneDirector in Research, Google DeepMind
- Episode Title: Project Astra: Exploring a Universal AI Assistant with Greg Wayne
- Show: Google DeepMind: The Podcast
- Length: 46 minutes
- Guest: Greg Wayne, Director in Research at Google DeepMind
In our final episode for the year, we explore Project Astra, a research prototype exploring future capabilities of a universal AI assistant that can understand the world around you. Host Hannah Fry is joined by Greg Wayne, Director in Research at Google DeepMind. They discuss the inspiration behind the research prototype, its current strengths and limitations, as well as potential future use cases. Hannah even gets the chance to put Project Astra's multilingual skills to the test.
Further reading / listening:
- Gemini 2.0
- Project Astra
- Decoding Google Gemini with Jeff Dean
- Gaming, Goats & General Intelligence with Frederic Besse
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: Bernardo Resende
- 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
- This refers to AI that can process and understand information from multiple types of data, such as text, images, audio, and video.
- AI that understands different kinds of information like text, pictures, and sound.
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Questions people ask
- What is Project Astra?
- Project Astra is a research prototype from Google DeepMind exploring future capabilities of a universal AI assistant that can understand the world around it.
- What can Project Astra do?
- It is designed to understand the world around the user and has demonstrated multilingual skills, which were tested during the podcast.
Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Hannah Fry.

