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Join us for a special episode of Release Notes as we unpack Gemini 3.0, Google’s latest AI model with key team members. Learn how Gemini 3.0 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.
Listen to this podcast:
Apple Podcasts → https://goo.gle/3Bm7QzQ
Spotify → https://goo.gle/3ZL3ADl
Chapters:
0:00 – Introduction to Gemini 3.0
1:06 – Gemini 3.0’s multimodal & agentic capabilities
3:21 – Widespread integration of Gemini 3.0
5:21 – Iterative model development and usability
11:19 – Generative UIs and “vibe coding”
13:55 – Multilingual & video understanding examples
19:53 – YouTube playables with Gemini 3.0
22:46 – Evolution of model performance and quality
31:02 – Gemini 3.0: interactive visual tools
32:40 – Agentic Gemini: task automation and integration
44:10 – Gemini 3 Deep Think explained
49:40 – Gemini 3.0 for mathematical problem solving
51:55 – Conclusion and future of Gemini
Subscribe to Google for Developers → https://goo.gle/developers
Speaker: Tulsee Doshi, Josh Woodward, Logan Kilpatrick
Products Mentioned: Google AI, Gemini Read More Google for Developers
