Launching Gemini 2.5 Google AI: Release Notes podcast

27:55

Tulsee Doshi, Head of Product for Gemini Models joins host Logan Kilpatrick for an in-depth discussion on the latest Gemini 2.5 Pro experimental launch. Gemini 2.5 is a well-rounded, multimodal thinking model, designed to tackle increasingly complex problems. From enhanced reasoning to advanced coding, Gemini 2.5 can create impressive web applications and agentic code applications. Learn about the process of building Gemini 2.5 Pro experimental, the improvements made across the stack, and what’s next for Gemini 2.5. Chapters: 0:00 - Introduction 1:05 - Gemini 2.5 launch overview 3:19 - Academic evals vs. vibe checks 6:19 - The jump to 2.5 7:51 - Coordinating cross-stack improvements 11:48 - Role of pre/post-training vs. test-time compute 13:21 - Shipping Gemini 2.5 15:29 - Embedded safety process 17:28 - Multimodal reasoning with Gemini 2.5 18:55 - Benchmark deep dive 22:07 - What’s next for Gemini 24:49 - Dynamic thinking in Gemini 2.5 25:37 - The team effort behind the launch Resources: Gemini → https://goo.gle/41Yf72b Gemini 2.5 blog post → https://goo.gle/441SHiV Example of Gemini’s 2.5 Pro’s game design skills → https://goo.gle/43vxkq1 Demo: Gemini 2.5 Pro Experimental in Google AI Studio → https://goo.gle/4c5RbhE…

Google AI: Release Notes

1
Gemini app: Canvas, Deep Research and Personalization 36:53

5 weeks fa36:53

36:53

Dave Citron, Senior Director Product Management, joins host Logan Kilpatrick for an in-depth discussion on the latest Gemini updates and demos. Learn more about Canvas for collaborative content creation, enhanced Deep Research with Thinking Models and Audio Overview and a new personalization feature. 0:00 - Introduction 0:59 - Recent Gemini app launches 2:00 - Introducing Canvas 5:12 - Canvas in action 8:46 - More Canvas examples 12:02 - Enhanced capabilities with Thinking Models 15:12 - Deep Research in action 20:27 - The future of agentic experiences 22:12 Deep Research and Audio Overviews 24:11 - Personalization in Gemini app 27:50 - Personalization in action 29:58 - How personalization works: user data and privacy 32:30 -The future of personalization…

Google AI: Release Notes

1
Developing Google DeepMind's Thinking Models 1:03:32

9 weeks fa1:03:32

1:03:32

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 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…

Google AI: Release Notes

1
Behind the Scenes of Gemini 2.0 35:18

19 weeks fa35:18

35:18

Tulsee Doshi, Gemini model product lead, joins host Logan Kilpatrick to go behind the scenes of Gemini 2.0, taking a deep dive into the model's multimodal capabilities and native tool use, and Google's approach to shipping experimental models. Watch on YouTube: https://www.youtube.com/watch?v=L7dw799vu5o Chapters: Meet Tulsee Doshi Gemini's Progress Over the Past Year Introducing Gemini 2.0 Shipping Experimental Models Gemini 2.0’s Native Tool Use Function Calling Multimodal Agents Rapid Fire Questions…

Google AI: Release Notes

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Smaller, Faster, Cheaper & The Story of Flash 8B 43:20

20 weeks fa43:20