Behind the scenes of Google's state-of-the-art "nano-banana" image model
Join host Logan Kilpatrick in discussion with some of the minds behind Google's new state-of-the-art image model, Gemini 2.5 Flash. Product and research leads from the Gemini team break down the technology behind its key capabilities, including interleaved generation for complex edits and new approaches to achieving character consistency and pixel-perfect control. With Nicole Brichtova, Kaushik Shivakumar, Mostafa Dehghani and Robert Riachi. Watch on YouTube: Chapters:0:37 - New model introduction1:21 -Demo - Image Editing3:44 - Text rendering capabilities4:44 Beyond human preference evals6:44 - Text rendering as a proxy for quality8:38 - Positive transfer between modalities11:25 - Demo - Multi-turn, context aware image generation13:54 - Pixel-perfect editing and character consistency15:51 - Interleaved image generation17:59 - Specialized vs. native models19:52 - Understanding nuanced prompts20:59 - User feedback shaping model development22:37 - Improvements in character consistency24:17 - More natural looking images from team collaboration26:41 - What’s next for image generation models
-------- Â
30:32
--------
30:32
Demis Hassabis on shipping momentum, better evals and world models
Demis Hassabis, CEO of Google DeepMind, sits down with host Logan Kilpatrick. In this episode, learn about the evolution from game-playing AI to today's thinking models, how projects like Genie 3 are building world models to help AI understand reality and why new testing grounds like Kaggle’s Game Arena are needed to evaluate progress on the path to AGI.Watch on YouTube: https://www.youtube.com/watch?v=njDochQ2zHsChapters:00:00 - Intro01:16 - Recent GDM momentum02:07 - Deep Think and agent systems04:11 - Jagged intelligence07:02 - Genie 3 and world models10:21 - Future applications of Genie 313:01 - The need for better benchmarks and Kaggle Game Arena19:03 - Evals beyond games21:47 - Tool use for expanding AI capabilities24:52 - Shift from models to systems27:38 - Roadmap for Genie 3 and the omni model29:25 - The quadrillion token clubÂ
-------- Â
31:09
--------
31:09
Building real-time voice applications with Live API
Shrestha Basu Mallick, one of the product leads for the Gemini API, joins host Logan Kilpatrick for a deep dive of Gemini Live API, Google’s real-time, multimodal interface for developers. Learn about how native audio alongside new capabilities like proactive audio and async function calling unlocks the unique power of audio as an interface.Watch on YouTube: https://www.youtube.com/watch?v=4xlwlU6h-wM0:00 - Intro1:18 - Live API Overview3:36 - Why audio is a special modality5:07 - Speed vs. precision in audio6:17 - Controllable and promptable TTS8:31 - What developers are building with the Live API11:14 - URL context and async calling features15:02 - Proactive audio and affective dialog16:55 - Addressing developer feedback21:54 - Live API roadmap23:49 - The role of long context24:57 - What’s next for the Live API26:41 - State of the AI audio market30:10 - Advice for developers getting started with the Live API31:16 - Live API demo38:10 - Demo wrap up and closingÂ
-------- Â
40:14
--------
40:14
Building a frontier AI search experience
Robby Stein, VP of Product for Google Search, joins host Logan Kilpatrick to explore how Search is evolving into a frontier AI product. Their conversation covers the shift from simple keywords to complex, conversational queries, the rise of agentic capabilities that can take action on your behalf, and the vision to help billions of users truly "ask anything." Learn more about the technology behind AI Overviews, AI Mode, Deep Search, and the future of multimodal interaction.Watch on YouTube: https://youtu.be/zUB5A_ezIOUChapters01:07 Search as a Frontier AI Product02:38 Reaching 1.5 Billion Users03:37 What Is AI Mode?04:17 Understanding Query Fan-Out05:18 Balancing Latency and performance with Gemini 2.5 Pro06:51 How Deep Search works09:08 Fine-tuning models for product experience11:24 Shifting user behaviors14:07 The rise of visual search16:52 Speech and conversational AI in Search18:36 Comparing Gemini and Search20:04 Real-time tool use in Search22:52 Evolving the Search interface26:03 Making Search more personal29:15 The agentic future of Search31:15 Agents beyond booking tickets37:11 On-the-fly software creation38:06 Google DeepMind and Search collaboration40:08 What's next for SearchÂ
-------- Â
43:16
--------
43:16
Gemini's Multimodality
Ani Baddepudi, Gemini Model Behavior Product Lead, joins host Logan Kilpatrick for a deep dive into Gemini's multimodal capabilities. Their conversation explores why Gemini was built as a natively multimodal model from day one, the future of proactive AI assistants, and how we are moving towards a world where "everything is vision." Learn about the differences between video and image understanding and token representations, higher FPS video sampling, and more. Chapters:0:00 - Intro1:12 - Why Gemini is natively multimodal2:23 - The technology behind multimodal models5:15 - Video understanding with Gemini 2.59:25 - Deciding what to build next13:23 - Building new product experiences with multimodal AI17:15 - The vision for proactive assistants24:13 - Improving video usability with variable FPS and frame tokenization27:35 - What’s next for Gemini’s multimodal development31:47 - Deep dive on Gemini’s document understanding capabilities37:56 - The teamwork and collaboration behind Gemini40:56 - What’s next with model behaviorWatch on YouTube: https://www.youtube.com/watch?v=K4vXvaRV0dw
Ever wondered what it's really like to build the future of AI? Join host Logan Kilpatrick for a deep dive into the world of Google AI, straight from the minds of the builders. We're pulling back the curtain on the latest breakthroughs, sharing the unfiltered stories behind the tech, and answering the questions you've been dying to ask.
Whether you're a seasoned developer or an AI enthusiast, this podcast is your backstage pass to the cutting-edge of AI technology. Tune in for:
- Exclusive interviews with AI pioneers and industry leaders.
- In-depth discussions on the latest AI trends and developments.
- Behind-the-scenes stories and anecdotes from the world of AI.
- Unfiltered insights and opinions from the people shaping the future.
So, if you're ready to go beyond the headlines and get the real scoop on AI, join Logan Kilpatrick on Google AI: Release Notes.
UK