- Developers
- Learn about Gemini 2.5 Pro's advanced reasoning and coding features for building complex applications and agentic systems.
- Business
- Understand how Gemini 2.5 Pro's capabilities in reasoning and application development could impact future product innovation.
This is a solid interview discussing a significant new experimental AI model from a leading lab.
Launching Gemini 2.5
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From Subvolts
Summary and analysis by Subvolts editorial, AI-assisted.
Logan Kilpatrick hosts Tulsee Doshi on Google AI: Release Notes to discuss the experimental launch of Gemini 2.5 Pro. This multimodal model handles complex reasoning and coding, enabling impressive web and agentic applications. The episode covers Gemini 2.5's development, stack improvements, multimodal reasoning, benchmarks, and future directions. Doshi shares insights into the model's capabilities and the team's efforts.
Google released a new AI called Gemini 2.5 Pro. It's good at understanding different types of information and can help build complex computer programs. This could lead to smarter apps and tools for many uses.
This episode offers a deep dive into Google's latest AI model, Gemini 2.5 Pro, for those tracking frontier AI developments. It's for AI researchers, developers, and product managers interested in advanced reasoning and coding capabilities. The discussion on cross-stack improvements and multimodal reasoning connects directly to the current industry push for more capable and versatile AI systems, highlighting Google's progress in this competitive landscape.
- HostLogan Kilpatrick
- GuestTulsee DoshiHead of Product for Gemini Models, Google
- Episode Title: Launching Gemini 2.5
- Show: Google AI: Release Notes
- Length: 28 minutes
- Guest: Tulsee Doshi, Head of Product for Gemini Models
- Model: Gemini 2.5 Pro
Tulsee Doshi, Head of Product for Gemini Models joins host Logan Kilpatrick for an in-depth discussion on the latest Gemini 2.5 Pro experimental launch. Gemini 2.5 is a well-rounded, multimodal thinking model, designed to tackle increasingly complex problems. From enhanced reasoning to advanced coding, Gemini 2.5 can create impressive web applications and agentic code applications. Learn about the process of building Gemini 2.5 Pro experimental, the improvements made across the stack, and what’s next for Gemini 2.5.
Chapters:
0:00 - Introduction
1:05 - Gemini 2.5 launch overview
3:19 - Academic evals vs. vibe checks
6:19 - The jump to 2.5
7:51 - Coordinating cross-stack improvements
11:48 - Role of pre/post-training vs. test-time compute
13:21 - Shipping Gemini 2.5
15:29 - Embedded safety process
17:28 - Multimodal reasoning with Gemini 2.5
18:55 - Benchmark deep dive
22:07 - What’s next for Gemini
24:49 - Dynamic thinking in Gemini 2.5
25:37 - The team effort behind the launch
Resources:
- Gemini → https://goo.gle/41Yf72b
- Gemini 2.5 blog post → https://goo.gle/441SHiV
- Example of Gemini’s 2.5 Pro’s game design skills → https://goo.gle/43vxkq1
- Demo: Gemini 2.5 Pro Experimental in Google AI Studio → https://goo.gle/4c5RbhE
- multimodal
- Tulsee Doshi
- able to understand and process different types of information, like text, images, and audio.
- agentic code applications
- Tulsee Doshi
- computer programs that can act autonomously to perform tasks.
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Questions people ask
- What is Gemini 2.5 Pro?
- Gemini 2.5 Pro is a well-rounded, multimodal thinking model designed to tackle increasingly complex problems, offering enhanced reasoning and advanced coding capabilities.
- Where can I try Gemini 2.5 Pro?
- You can try Gemini 2.5 Pro Experimental in Google AI Studio.
Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Google AI.



