Gemini 2.0 and the Evolution of Agentic AI with Oriol Vinyals
In this episode, Hannah is joined by Oriol Vinyals, VP of Drastic Research and Gemini co-lead. They discuss the evolution of agents from single-task models to more general-purpose models capable of br...
12 Dec 202449min
The Balancing Act: Regulation & AI with Nicklas Lundblad
There is broad consensus across the tech industry, governments and society, that as artificial intelligence becomes more embedded in every aspect of our world, regulation will be essential. But what d...
5 Dec 202453min
Inside NotebookLM with Raiza Martin and Steven Johnson
NotebookLM is a research assistant powered by Gemini that draws on expertise from storytelling to present information in an engaging way. It allows users to upload their own documents and generate ins...
26 Nov 202444min
AI for Science with Sir Paul Nurse, Demis Hassabis, Jennifer Doudna, and John Jumper
Join Professor Hannah Fry at the AI for Science Forum for a fascinating conversation with Google DeepMind CEO Demis Hassabis. They explore how AI is revolutionizing scientific discovery, delving into...
21 Nov 202454min
The Ethics of AI Assistants with Iason Gabriel
Imagine a future where we interact regularly with a range of advanced artificial intelligence (AI) assistants — and where millions of assistants interact with each other on our behalf. These experienc...
11 Nov 202443min
AI in the Classroom with Irina Jurenka
How human should an AI tutor be? What does ‘good’ teaching look like? Will AI lead in the classroom, or take a back seat to human instruction? Will everyone have their own personalized AI tutor? Join ...
23 Okt 202439min
AI: Supercharging Scientific Exploration with Pushmeet Kohli
In this episode, Professor Hannah Fry sits down with Pushmeet Kohli, VP of Research at Google DeepMind to discuss AI’s impact on scientific discovery. They go on a whirlwind tour of scientific project...
9 Okt 202447min
Gaming, Goats & General Intelligence with Frederic Besse
Games are a very good training ground for agents. Think about it. Perfectly packaged, neatly constrained environments where agents can run wild, work out the rules for themselves, and learn how to han...
25 Sep 202440min
