- Developers
- Learn how Google is implementing advanced AI models like Gemini 3 to create dynamic and interactive user experiences in Search.
- Business
- Understand the strategic shift towards AI-driven design and personalized interfaces that could redefine consumer product engagement.
- Everyday users
- See how Google Search is evolving to offer more interactive, AI-powered results and dynamic simulations tailored to your queries.
This episode provides a direct look from Google Search product leads into how Gemini 3 is being integrated into a major consumer product.
Gemini 3 and Gen UI in Google Search
Audio streams from Google AI. Your place is remembered on this device.
From Subvolts
Summary and analysis by Subvolts editorial, AI-assisted.
Google AI: Release Notes features Logan Kilpatrick interviewing Rhiannon Bell and Robby Stein about Gemini 3's integration into Google Search. They discuss Generative UI, where AI designs interactive simulations, the speed of Gemini 3 Flash, Search's new "persona," and how models like Nano Banana power data visualization.
Google Search is using a new AI called Gemini 3 to build more interactive and personalized results. Imagine the AI designing custom simulations just for you, making search feel more like a conversation and less like a list.
This episode offers insight into how Google is embedding advanced AI, specifically Gemini 3, into its core Search product. Listeners will learn about the shift towards generative design in user interfaces and the technical considerations for speed and scale. It's for anyone interested in the practical application of large language models in consumer products and how Google is evolving its search experience to be more interactive and intelligent.
- HostLogan Kilpatrick
- GuestRhiannon BellProduct and Design leads, Google Search
- GuestRobby SteinProduct and Design leads, Google Search
- Episode Title: Gemini 3 and Gen UI in Google Search
- Show: Google AI: Release Notes
- Length: 22 minutes
- Generative UI: Models act as designers to create bespoke, interactive simulations on the fly.
- Gemini 3 Flash Role: Delivering speed at scale in Search.
- Data Visualization Model: Nano Banana
Rhiannon Bell and Robby Stein, Product and Design leads for Google Search, join host Logan Kilpatrick for a deep dive into the integration of Gemini 3 into Search. Their conversation explores the evolution of Generative UI, where models act as designers to create bespoke, interactive simulations on the fly. Learn more about the role of Gemini 3 Flash in delivering speed at scale, the development of Search's new "persona," and how models like Nano Banana are powering next-generation data visualization.
Watch on YouTube: https://www.youtube.com/watch?v=AqyclkRBSe4
Chapters:
0:00 - Introduction
1:24 - What is Generative UI?
2:23 - From static to generative design
6:37 - Interactive simulations
8:47 - Latency and visual QA
10:48 - Gemini 3 Flash in Search
12:08 - Fusing AI Mode and AI Overviews
14:24 - The Search persona
17:12 - Agentic system understanding
18:22 - Visualizing data with Nano Banana
- Generative UI
- Rhiannon Bell and Robby Stein
- User interfaces where AI designs interactive elements and simulations automatically.
- persona
- Google Search
- The distinct style or character of how Search presents information.
- data visualization
- Nano Banana
- Representing information or data graphically, like charts or diagrams.
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Questions people ask
- What is Generative UI in Google Search?
- Generative UI involves AI models acting as designers to create custom, interactive simulations on the fly for search results.
- How does Gemini 3 Flash help Google Search?
- Gemini 3 Flash is used for delivering speed at scale within Google Search.
Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Google AI.




