Post Content
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
Speaker: Harrison Jobe
Products Mentioned: Gemini, Google AI Read More Google for Developers
