Developing Google DeepMind's Thinking Models

Jack Rae, Principal Scientist at Google DeepMind, joins host Logan Kilpatrick for an in-depth discussion on the development of Google’s thinking models. Learn more about practical applications of thinking models, the impact of increased 'thinking time' on model performance and the key role of long context. Chapters: 0:00 - Intro 01:14 - Defining Thinking Models 03:40 - Use Cases for Thinking Models 07:52 - Thinking Time Improves Answers 09:57 - Rapid Thinking Progress 20:11 - Long Context Is Key 27:41 - Tools for Thinking Models 29:44 - Incorporating Developer Feedback 35:11 - The Strawberry Counting Problem 39:15 - Thinking Model Development Timeline 42:30 - Towards a GA Thinking Model 49:24 - Thinking Models Powering AI Agents 54:14 - The Future of AI Model Evals Resources: Listen to this podcast: Apple Podcasts → https://goo.gle/3Bm7QzQ Spotify → https://goo.gle/3ZL3ADl Subscribe to Google for Developers → https://goo.gle/developers Speakers: Jack Rae, Logan Kilpatrick Products Mentioned: Gemini, Google AI