Google DeepMind's Koray Kavukcuoglu on Gemini Progress, Frontier AI, and the Road to AGI

In this episode of Release Notes, Logan Kilpatrick sits down with Koray Kavukcuoglu, CTO of Google DeepMind, to discuss recent advances in the Gemini model family, the importance of frontier AI, and the long-term journey toward AGI. The conversation covers the rapid iteration from Gemini 3.5 to 3.7, the role of user feedback in shaping AI development, and reflections on DeepMind's history from DQN to AlphaFold.

■ Gemini Model Development
- Progress from Gemini 3.5 to 3.7 and parallel research tracks
- Current work on Gemini 3.5 Pro and Gemini 4

■ Frontier AI and Strategy
- The importance of being at the frontier
- Google's long-term investment in AI and technology

■ History and Evolution of DeepMind
- Early deep learning and RL research, including DQN and Atari
- Scaling from games to complex real-world domains

■ Building AGI with Users
- The role of deployment and feedback in co-building AGI
- The shift from research papers to real-world agentic systems

This conversation is valuable for AI researchers, developers, and technology enthusiasts seeking insight into Google DeepMind's current strategy, the practical challenges of building general intelligence, and how user interaction shapes the path to AGI. Viewers will gain a clearer understanding of the company's priorities and the iterative process behind frontier AI development.