Google AI: Release Notes

Chapters:
00:00 - Intro and defining world models and RL roots
01:51 - Demo: Goldfish and shark in underwater world
04:59 - Project Genie gallery
06:31 - Physics, remixing, and UI prompts
11:00 - Demo: Nano Banana mascot “Bob”
13:20 - Constraints, generation limits, and infrastructure
17:04 - Trusted testers and robotics future
28:34 - Frontier prompting and universal simulation
29:27 - Cross-Google collaboration
31:16 - Adoption timelines and impact
34:16 - Model generalization and historical context
38:52 - Hardware limits and the slope of progress

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

Logan Kilpatrick from Google DeepMind sits down with Sundar Pichai, CEO of Google and Alphabet to discuss the launch of Gemini 3, Nano Banana Pro and Google's overall AI momentum. They talk about Google’s long-term bets on infrastructure, what it’s actually like to ship SOTA models, and the rise of vibe coding. Sundar also shares his personal launch day rituals and thoughts on future moonshots like putting data centers in space.
Watch on YouTube: https://www.youtube.com/watch?v=iFqDyWFuw1c

Chapters:
0:00 - Intro
0:51 - Shipping Gemini 3
2:44 - Google's decade-long investment in AI
4:27 - The full stack advantage
5:43 - Scaling up compute and capacity
7:32 - Sim-shipping Gemini across products
9:35 - Nano Banana Pro
12:13 - Monitoring launch day
14:13 - Future model roadmap
16:05 - Launch day rituals
18:02 - The Blue Micro Kitchen
21:57 - Future moonshots
23:26 - The rise of vibe coding
26:50 - What’s next

Introducing Nano Banana Pro, a powerful model built on Gemini 3 Pro, designed to enhance text rendering, infographics, and structured content generation. Tune in to learn about Nano Banana Pro’s advanced visual reasoning and multi-turn generation capabilities, and how this next-gen tool enables complex image edits and real-world applications. In this episode, we discuss how user feedback and continuous benchmarking drive model improvements, ensuring a superior experience for developers.
Watch on YouTube: https://www.youtube.com/watch?v=hk6gwiZmSWA

Chapters:
00:00 - Introducing Nano Banana Pro
02:00 - Enhanced world understanding
04:59 - Advanced text rendering
05:49 - Gemini 3 Pro's influence
09:30 - Multi-turn & infographics
14:04 - Text rendering comparison
16:26 - Multilingual text support
18:22 - Infographics for learning
24:00 - Multi-image input
26:38 - Resolution & fidelity
30:07 - Advanced editing & style
32:09 - Practical use cases
35:26 - Future outlook & thanks

Join Logan Kilpatrick and Koray Kavukcuoglu, CTO of Google DeepMind and Chief AI Architect of Google, as they discuss Gemini 3 and the state of AI!
Their conversation includes the reception of Gemini 3, the ongoing advancements in AI research, and the role of benchmarks in pushing new frontiers. They explore critical areas for Gemini's focus, emphasizing instruction following, tool calls, and internationalization, alongside Google's collaborative approach to AI development.
Watch on YouTube: https://www.youtube.com/watch?v=fXtna7UrL44
Chapters:
0:00 - Intro
2:00 - Gemini 3 launch reception
4:16 - Continuous progress and innovation
6:47 - Key areas for Gemini improvement
11:45 - Product scaffolding for model improvement
13:56 - Chief AI architect role
17:04 - Engineering mindset and collaboration
18:37 - Future growth areas for Gemini
20:33 - From research to engineering mindset
23:22 - The rise of generative media
27:22 - Nano Banana Pro capabilities
29:31 - Towards unified model checkpoints
36:26 - Organizing for AI success
38:26 - Balancing exploration and scaling
41:40 - DeepMind's collaborative culture
45:21 - Innovating at Google
48:37 - Closing