Subvolts take Google details Gemini 2.0's multimodal power and native tool use, revealing their strategy for shipping experimental AI. Dec 11, 2024 - Developers
- Learn about Gemini 2.0's native tool use and function calling capabilities for building AI applications.
- Business
- Understand Google's approach to shipping experimental models and the potential of multimodal AI for business solutions.
- Everyday users
- Discover how Gemini 2.0's advanced features can lead to more helpful and versatile AI assistants.
This episode provides a detailed look at Google's latest Gemini 2.0 model from a product lead, offering specific insights into its capabilities and release strategy.
Behind the Scenes of Gemini 2.0
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From Subvolts
Summary and analysis by Subvolts editorial, AI-assisted.
Tulsee Doshi, Gemini model product lead, joins host Logan Kilpatrick on Google AI: Release Notes to discuss Gemini 2.0. The episode explores the model's multimodal capabilities, native tool use, and Google's strategy for releasing experimental AI models. It also touches on the progress made with Gemini over the past year.
Google's AI team explains their new Gemini 2.0 model. It can understand and use different types of information, like text and images, and can directly use other tools to help it do tasks. This helps make AI more useful for everyday problems.
This episode offers insight into Google's latest AI advancements, specifically Gemini 2.0. Listeners will learn about its multimodal features and how Google approaches shipping new AI models. It is for AI enthusiasts, developers, and product managers interested in Google's AI strategy and the practical application of large language models. The discussion on native tool use and multimodal agents connects directly to current trends in AI development across major labs.
- HostLogan Kilpatrick
- GuestTulsee DoshiGemini model product lead, Google
- Guest: Tulsee Doshi, Gemini model product lead
- Show: Google AI: Release Notes
- Length: 35 minutes
- Topic: Gemini 2.0
- Features Discussed: Multimodal capabilities, native tool use
- multimodal
- Tulsee Doshi
- able to understand and process different types of information, like text, images, and sound
- native tool use
- Tulsee Doshi
- the AI model can directly use other software tools to help it complete tasks
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39 minIntroducing Gemini Robotics 2
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42 minGemini co-leads on project origins and what's next
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40 minSame guests, other shows
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59 minThe Model Eats the Scaffolding: DeepMind's Logan Kilpatrick & Tulsee Doshi on 3.5 Flash, Omni & More
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37 min40 minGoogle I/O 2025 Recap with Josh Woodward and Tulsee Doshi
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49 minGemini 2.0 and the Evolution of Agentic AI with Oriol Vinyals
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53 minThe Balancing Act: Regulation & AI with Nicklas Lundblad
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Questions people ask
- Who is featured in this episode?
- Tulsee Doshi, Gemini model product lead, joins host Logan Kilpatrick.
- What topics are covered regarding Gemini 2.0?
- The episode covers Gemini 2.0's multimodal capabilities, native tool use, and Google's approach to shipping experimental models.
Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Google AI.