Tune in to an in-depth podcast discussion on extended context in Gemini models.

The latest episode of the Google AI: Release Notes podcast focuses on long context in Gemini — meaning how much information our AI models can process as input at once — and how that impacts its ability to answer questions and complete tasks. Host Logan Kilpatrick talks to Nikolay Savinov, a research scientist at Google DeepMind, about the challenges and future of long context, including its importance in coding and agents. Watch the full conversation below, or enjoy the Google AI: Release Notes podcast on your preferred streaming platform.