Google DeepMind's Tulsee Doshi: Gemini 3, Deep Think's Unexpected Uses, Layer-Based Editing

17/01/2026 36 min Episodio 110
Google DeepMind's Tulsee Doshi: Gemini 3, Deep Think's Unexpected Uses, Layer-Based Editing

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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.

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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
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