Pushmeet Kohli, Head of Science and Strategic Initiatives at Google DeepMind, joins host Logan Kilpatrick to explore the intersection of AI and scientific discovery. Learn how the team's unique problem-solving framework led to innovations like AlphaFold and AlphaEvolve, and how new tools like AI Co-scientist aim to democratize these types of breakthroughs for everyone.

Watch on YouTube: https://www.youtube.com/watch?v=o7mdsL6BHsk

Chapters:
0:00 - Intro
1:04 - Recent Alpha launches
02:15 - Framework for selecting research domains
06:21 - Scientific, commercial and social impact
15:00 - Wielding AGI for breakthroughs
16:48 - Tech transfer and team collaboration
19:46 - IMO Gold Medal
21:42 - Evaluating math proofs
22:55 - From specialized models to Deep Think
24:22 - Do math skills generalize?
25:53 - Generalizing the IMO model
27:43 - Democratizing AI science tools
30:09 - AI Co-scientist
35:17 - An API for science?

Join host Logan Kilpatrick in discussion with some of the minds behind Google's new state-of-the-art image model, Gemini 2.5 Flash. Product and research leads from the Gemini team break down the technology behind its key capabilities, including interleaved generation for complex edits and new approaches to achieving character consistency and pixel-perfect control. With Nicole Brichtova, Kaushik Shivakumar, Mostafa Dehghani and Robert Riachi.

Watch on YouTube:

Chapters:
0:37 - New model introduction
1:21 -Demo - Image Editing
3:44 - Text rendering capabilities
4:44 Beyond human preference evals
6:44 - Text rendering as a proxy for quality
8:38 - Positive transfer between modalities
11:25 - Demo - Multi-turn, context aware image generation
13:54 - Pixel-perfect editing and character consistency
15:51 - Interleaved image generation
17:59 - Specialized vs. native models
19:52 - Understanding nuanced prompts
20:59 - User feedback shaping model development
22:37 - Improvements in character consistency
24:17 - More natural looking images from team collaboration
26:41 - What’s next for image generation models

Demis Hassabis, CEO of Google DeepMind, sits down with host Logan Kilpatrick. In this episode, learn about the evolution from game-playing AI to today's thinking models, how projects like Genie 3 are building world models to help AI understand reality and why new testing grounds like Kaggle’s Game Arena are needed to evaluate progress on the path to AGI.

Watch on YouTube: https://www.youtube.com/watch?v=njDochQ2zHs

Chapters:
00:00 - Intro
01:16 - Recent GDM momentum
02:07 - Deep Think and agent systems
04:11 - Jagged intelligence
07:02 - Genie 3 and world models
10:21 - Future applications of Genie 3
13:01 - The need for better benchmarks and Kaggle Game Arena
19:03 - Evals beyond games
21:47 - Tool use for expanding AI capabilities
24:52 - Shift from models to systems
27:38 - Roadmap for Genie 3 and the omni model
29:25 - The quadrillion token club