Listen "Google DeepMind's Tulsee Doshi: Gemini 3, Deep Think's Unexpected Uses, Layer-Based Editing"
Episode Synopsis
This episode is sponsored by Your360 AI. Get 10% off through January 2026 at Your360.ai with code: INSIDE.
Tulsee Doshi is Senior Director and Head of Product for Gemini Models at Google DeepMind. She joins us to reveal how real-world usage is reshaping Google's AI roadmap in unexpected ways. We explore the surprising discovery that Deep Think excels at creative writing rather than just academic research, why the team is now pursuing layer-based editing capabilities for Nano Banana Pro based on user demand, and how internal adoption patterns exceeded expectations. We also cover Gemini 3's reasoning breakthroughs, the path from research to production, and what Google learned from achieving gold medal performance at the International Mathematical Olympiad. Hit play for a candid discussion about AI development.
Note: Time codes subject to change depending on dynamic ad insertion by the distributor.
CHAPTERS:
00:00:00 - Podcast begins
00:01:32 - Introducing Tulsee Doshi, Head of Product for Gemini Models
00:03:20 - Nano Banana Pro Launch: Surprises and User Adoption Two Months Later
00:04:17 - What Users Are Asking For: Future Directions for Nano Banana Pro
00:05:21 - User Demand for Photoshop-Style Editing and Layered Image Control
00:06:04 - Gemini 3 Integration Across Google Products and Beyond
00:08:23 - Will AI Change How We Interact With Google Products?
00:12:20 - The Future of Real World Models and 3D Spatial Understanding
00:27:36 - Deep Think Explained: When to Use Different Gemini Modes
00:28:41 - Deep Think Use Cases: Academic Research, Enterprise, and Consumer Applications
00:30:51 - Surprising Deep Think Application: Creative Writing Beyond Academic Research
00:31:45 - The Future of AI-Generated Movies and Long-Form Content
00:32:00 - Thank you to Tulsee Doshi for joining the AI Inside podcast
Learn more about your ad choices. Visit megaphone.fm/adchoices
Tulsee Doshi is Senior Director and Head of Product for Gemini Models at Google DeepMind. She joins us to reveal how real-world usage is reshaping Google's AI roadmap in unexpected ways. We explore the surprising discovery that Deep Think excels at creative writing rather than just academic research, why the team is now pursuing layer-based editing capabilities for Nano Banana Pro based on user demand, and how internal adoption patterns exceeded expectations. We also cover Gemini 3's reasoning breakthroughs, the path from research to production, and what Google learned from achieving gold medal performance at the International Mathematical Olympiad. Hit play for a candid discussion about AI development.
Note: Time codes subject to change depending on dynamic ad insertion by the distributor.
CHAPTERS:
00:00:00 - Podcast begins
00:01:32 - Introducing Tulsee Doshi, Head of Product for Gemini Models
00:03:20 - Nano Banana Pro Launch: Surprises and User Adoption Two Months Later
00:04:17 - What Users Are Asking For: Future Directions for Nano Banana Pro
00:05:21 - User Demand for Photoshop-Style Editing and Layered Image Control
00:06:04 - Gemini 3 Integration Across Google Products and Beyond
00:08:23 - Will AI Change How We Interact With Google Products?
00:12:20 - The Future of Real World Models and 3D Spatial Understanding
00:27:36 - Deep Think Explained: When to Use Different Gemini Modes
00:28:41 - Deep Think Use Cases: Academic Research, Enterprise, and Consumer Applications
00:30:51 - Surprising Deep Think Application: Creative Writing Beyond Academic Research
00:31:45 - The Future of AI-Generated Movies and Long-Form Content
00:32:00 - Thank you to Tulsee Doshi for joining the AI Inside podcast
Learn more about your ad choices. Visit megaphone.fm/adchoices
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