Ever wondered what it's really like to build the future of AI? Join host Logan Kilpatrick for a deep dive into the world of Google AI, straight from the minds o...
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 - Introduction1:05 - Gemini 2.5 launch overview3:19 - Academic evals vs. vibe checks6:19 - The jump to 2.57:51 - Coordinating cross-stack improvements11:48 - Role of pre/post-training vs. test-time compute13:21 - Shipping Gemini 2.515:29 - Embedded safety process17:28 - Multimodal reasoning with Gemini 2.518:55 - Benchmark deep dive22:07 - What’s next for Gemini24:49 - Dynamic thinking in Gemini 2.525:37 - The team effort behind the launch Resources:Gemini → https://goo.gle/41Yf72bGemini 2.5 blog post → https://goo.gle/441SHiVExample of Gemini’s 2.5 Pro’s game design skills → https://goo.gle/43vxkq1Demo: Gemini 2.5 Pro Experimental in Google AI Studio → https://goo.gle/4c5RbhE
--------
27:55
Gemini app: Canvas, Deep Research and Personalization
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 - Introduction0:59 - Recent Gemini app launches2:00 - Introducing Canvas5:12 - Canvas in action8:46 - More Canvas examples12:02 - Enhanced capabilities with Thinking Models15:12 - Deep Research in action20:27 - The future of agentic experiences22:12 Deep Research and Audio Overviews24:11 - Personalization in Gemini app27:50 - Personalization in action29:58 - How personalization works: user data and privacy32:30 -The future of personalization
--------
36:53
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.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
--------
1:03:32
Behind the Scenes of Gemini 2.0
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
--------
35:18
Smaller, Faster, Cheaper & The Story of Flash 8B
Logan Kilpatrick sits down with Emanuel Taropa, a key figure in the development of Gemini to delve into the cutting edge of AI. Taropa provides insights into the technical challenges and triumphs of building and deploying large language models, focusing on the recent release of the Flash 8B Gemini model.
Their conversation covers everything from the intricacies of model architecture and training to the practical challenges of shipping AI models at scale, and even speculates on the future of AI.
Ever wondered what it's really like to build the future of AI? Join host Logan Kilpatrick for a deep dive into the world of Google AI, straight from the minds of the builders. We're pulling back the curtain on the latest breakthroughs, sharing the unfiltered stories behind the tech, and answering the questions you've been dying to ask.
Whether you're a seasoned developer or an AI enthusiast, this podcast is your backstage pass to the cutting-edge of AI technology. Tune in for:
- Exclusive interviews with AI pioneers and industry leaders.
- In-depth discussions on the latest AI trends and developments.
- Behind-the-scenes stories and anecdotes from the world of AI.
- Unfiltered insights and opinions from the people shaping the future.
So, if you're ready to go beyond the headlines and get the real scoop on AI, join Logan Kilpatrick on Google AI: Release Notes.
USA