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.01:14 - Defining Thinking Models03:40 - Use Cases for Thinking Models07:52 - Thinking Time Improves Answers09:57 - Rapid Thinking Progress20:11 - Long Context Is Key27:41 - Tools for Thinking Models29:44 - Incorporating Developer Feedback35:11 - The Strawberry Counting Problem39:15 - Thinking Model Development Timeline42:30 - Towards a GA Thinking Model49:24 - Thinking Models Powering AI Agents54:14 - The Future of AI Model Evals

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