Subvolts take Understand Gemini 3's multimodal and agentic power directly from the Google AI team. Nov 24, 2025 - Developers
- Learn about Gemini 3's advanced multimodal and agentic features to build new applications and understand its capabilities.
- Business
- Understand how Gemini 3's capabilities can be integrated into products and services for enhanced user experiences and task automation.
This episode provides direct insight from Google's AI team on their significant Gemini 3 model release.
Gemini 3: Launch day reactions
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From Subvolts
Summary and analysis by Subvolts editorial, AI-assisted.
This Google AI: Release Notes podcast episode features Logan Kilpatrick discussing Gemini 3 with key team members. They explore Gemini 3's enhanced multimodal understanding, agentic capabilities for complex tasks, and generative interfaces. The discussion covers real-world use cases, user feedback's role in development, and balancing performance with accessibility across Google platforms.
Google's latest AI, Gemini 3, is here. This episode explains how it understands different types of information, can perform complex tasks like a helpful assistant, and creates interactive applications from simple instructions. It's for anyone curious about how advanced AI is being built and used.
This episode offers developers and AI enthusiasts a look under the hood of Google's latest AI model, Gemini 3. Listeners learn about its advanced features like multimodal understanding and agentic capabilities, and how Google balances performance with broad accessibility. It's relevant as Google continues to push its AI offerings, directly competing with other frontier labs like OpenAI and Anthropic in the race for more capable and integrated AI systems.
- HostLogan Kilpatrick
- Episode Title: Gemini 3: Launch day reactions
- Show: Google AI: Release Notes
- Length: 42 minutes
- Gemini 3 Features: Enhanced multimodal understanding, agentic capabilities, generative interfaces
Join us for a special episode of Release Notes as we unpack Gemini 3, Google’s latest AI model with key team members. Learn how Gemini 3 empowers developers with enhanced multimodal understanding, agentic capabilities for complex tasks, and generative interfaces that transform prompts into interactive applications. We discuss real-world use cases, the iterative development process driven by user feedback, and the strategic balance between model performance and broad accessibility across various Google platforms.
Watch on YouTube: https://www.youtube.com/watch?v=mci0f2dy7G0
Chapters:
00:00 - Introducing Gemini 3
03:08 - Gemini 3 everywhere
04:13 - The product-model partnership
08:20 - Balancing speed and quality
11:40 - Gemini 3 'wow' moments
27:47 - Generative interfaces and UI
31:44 - Gemini's agentic capabilities
33:55 - Proactive AI and future
34:55 - Managing compute demand
39:32 - The Gemini 3 family
41:45 - Conclusion
- multimodal understanding
- AI team members
- understanding information from different sources like text, images, and sound together.
- agentic capabilities
- AI team members
- the ability to act independently to complete complex tasks.
- generative interfaces
- AI team members
- ways for AI to create interactive applications based on user prompts.
27 minKoray Kavukcuoglu on frontier models, coding agents, and building AGI
WithKoray Kavukcuoglu
39 minIntroducing Gemini Robotics 2
WithCarolina Parada, Stuart Bowers, Kanishka Rao, Jie Tan
42 minGemini co-leads on project origins and what's next
WithJeff Dean, Koray Kavukcuoglu, Noam Shazeer, Oriol Vinyals
40 min
Questions people ask
- What are the main features of Gemini 3?
- Gemini 3 offers enhanced multimodal understanding, agentic capabilities for complex tasks, and generative interfaces that turn prompts into interactive applications.
- How does Google develop Gemini 3?
- The development process is iterative and driven by user feedback, with a focus on balancing model performance and broad accessibility across Google platforms.
Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Google AI.