Google AI: Release Notes

Google AI

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.

  1. Sundar Pichai: Gemini 3, Vibe Coding and Google's Full Stack Strategy

    11月26日

    Sundar Pichai: Gemini 3, Vibe Coding and Google's Full Stack Strategy

    Logan Kilpatrick from Google DeepMind sits down with Sundar Pichai, CEO of Google and Alphabet to discuss the launch of Gemini 3, Nano Banana Pro and Google's overall AI momentum. They talk about Google’s long-term bets on infrastructure, what it’s actually like to ship SOTA models, and the rise of vibe coding. Sundar also shares his personal launch day rituals and thoughts on future moonshots like putting data centers in space. Watch on YouTube: https://www.youtube.com/watch?v=iFqDyWFuw1c Chapters: 0:00 - Intro 0:51 - Shipping Gemini 3 2:44 - Google's decade-long investment in AI 4:27 - The full stack advantage 5:43 - Scaling up compute and capacity 7:32 - Sim-shipping Gemini across products 9:35 - Nano Banana Pro 12:13 - Monitoring launch day 14:13 - Future model roadmap 16:05 - Launch day rituals 18:02 - The Blue Micro Kitchen 21:57 - Future moonshots 23:26 - The rise of vibe coding 26:50 - What’s next

    28 分鐘
  2. Nano Banana Pro: Hands-on with the World’s Most Powerful Image Model

    11月26日

    Nano Banana Pro: Hands-on with the World’s Most Powerful Image Model

    Introducing Nano Banana Pro, a powerful model built on Gemini 3 Pro, designed to enhance text rendering, infographics, and structured content generation. Tune in to learn about Nano Banana Pro’s advanced visual reasoning and multi-turn generation capabilities, and how this next-gen tool enables complex image edits and real-world applications. In this episode, we discuss how user feedback and continuous benchmarking drive model improvements, ensuring a superior experience for developers. Watch on YouTube: https://www.youtube.com/watch?v=hk6gwiZmSWA Chapters: 00:00 - Introducing Nano Banana Pro 02:00 - Enhanced world understanding 04:59 - Advanced text rendering 05:49 - Gemini 3 Pro's influence 09:30 - Multi-turn & infographics 14:04 - Text rendering comparison 16:26 - Multilingual text support 18:22 - Infographics for learning 24:00 - Multi-image input 26:38 - Resolution & fidelity 30:07 - Advanced editing & style 32:09 - Practical use cases 35:26 - Future outlook & thanks

    36 分鐘
  3. Koray Kavukcuoglu: “This Is How We Are Going to Build AGI”

    11月25日

    Koray Kavukcuoglu: “This Is How We Are Going to Build AGI”

    Join Logan Kilpatrick and Koray Kavukcuoglu, CTO of Google DeepMind and Chief AI Architect of Google, as they discuss Gemini 3 and the state of AI! Their conversation includes the reception of Gemini 3, the ongoing advancements in AI research, and the role of benchmarks in pushing new frontiers. They explore critical areas for Gemini's focus, emphasizing instruction following, tool calls, and internationalization, alongside Google's collaborative approach to AI development. Watch on YouTube: https://www.youtube.com/watch?v=fXtna7UrL44 Chapters: 0:00 - Intro 2:00 - Gemini 3 launch reception 4:16 - Continuous progress and innovation 6:47 - Key areas for Gemini improvement 11:45 - Product scaffolding for model improvement 13:56 - Chief AI architect role 17:04 - Engineering mindset and collaboration 18:37 - Future growth areas for Gemini 20:33 - From research to engineering mindset 23:22 - The rise of generative media 27:22 - Nano Banana Pro capabilities 29:31 - Towards unified model checkpoints 36:26 - Organizing for AI success 38:26 - Balancing exploration and scaling 41:40 - DeepMind's collaborative culture 45:21 - Innovating at Google 48:37 - Closing

    49 分鐘
  4. Google Antigravity: Hands on with our new agentic development platform

    11月25日

    Google Antigravity: Hands on with our new agentic development platform

    Explore Antigravity, Google DeepMind’s innovative new AI developer coding product, with Varun Mohan on Release Notes. This episode dives into Antigravity as a powerful agent development platform, integrating a familiar IDE experience with browser verification and Gemini 3.0 capabilities. Discover how developers can orchestrate complex agentic workflows, leverage artifacts for task communication, and balance AI automation with human collaboration. Learn about the philosophy behind building next-gen agentic experiences, the platform's multimodal strengths, and its role in accelerating software development at scale. Watch on YouTube: https://www.youtube.com/watch?v=uzFOhkORVfk Chapters 00:00 - Introducing Google Antigravity 04:02 - Evolution of AI in coding 04:53 - Beyond writing code 06:21 - Ideal Google Antigravity user 09:48 - Evolving user personas 11:46 - Agents versus the IDE 14:46 - Human-agent collaboration 16:43 - Local versus server-side 18:50 - Self-improvement and knowledge 21:29 - Generalizing agent capabilities 24:20 - Naming Google Antigravity 27:04 - Integrating Google's AI models 27:59 - Demo: Airbnb for dogs 28:48 - Understanding artifacts 29:51 - Asynchronous user feedback 32:16 - Agent manager workflow 33:17 - Browser actuation demo 34:36 - Browser for research and testing 36:45 - Parallel agent conversations 41:04 - Agent task best practices 42:51 - Future of Google Antigravity

    45 分鐘
  5. Gemini 3: Launch day reactions

    11月25日

    Gemini 3: Launch day reactions

    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

    42 分鐘
  6. How a Moonshot Led to Google DeepMind's Veo 3

    10月16日

    How a Moonshot Led to Google DeepMind's Veo 3

    Dumi Erhan, co-lead of the Veo project at Google DeepMind, joins host Logan Kilpatrick for a deep dive into the evolution of generative video models. They discuss the journey from early research in 2018 to the launch of state-of-the-art Veo 3 model with native audio generation. Learn about the technical hurdles in evaluating and scaling video models, the challenges of long-duration video coherence and how user feedback is shaping the future of AI-powered video creation. Chapter:  0:00 - Intro 0:47 - Veo project's beginnings 3:02 - Veo's origins in Google Brain 5:07 - Video prediction and robotics applications 7:45 - Early progress and evaluation challenges 10:30 - Physics-based evaluations and their limitations 12:18 - The launch of the original Veo model 14:06 - Scaling challenges for video models 16:02 - The leap from Veo1 to Veo2 19:40 - Veo 3’s viral audio moment 21:17 - User trends shaping Veo's roadmap 23:49 - Image-to-video vs. text-to-video complexity 26:00 - New prompting methods and user control 27:55 - Coherence in long video generation 31:03 - Genie 3 and world models 35:54 - The steerability challenge 41:59 - Capability transfer and image data's role 47:25 - Closing

    48 分鐘
  7. GDM’s Pushmeet Kohli on solving science's biggest challenges with AI

    9月15日

    GDM’s Pushmeet Kohli on solving science's biggest challenges with AI

    Pushmeet Kohli, Head of Science and Strategic Initiatives at Google DeepMind, joins host Logan Kilpatrick to explore the intersection of AI and scientific discovery. Learn how the team's unique problem-solving framework led to innovations like AlphaFold and AlphaEvolve, and how new tools like AI Co-scientist aim to democratize these types of breakthroughs for everyone.  Watch on YouTube: https://www.youtube.com/watch?v=o7mdsL6BHsk Chapters:  0:00 - Intro 1:04 - Recent Alpha launches 02:15 - Framework for selecting research domains 06:21  - Scientific, commercial and social impact 15:00 - Wielding AGI for breakthroughs 16:48 - Tech transfer and team collaboration 19:46  -  IMO Gold Medal 21:42  - Evaluating math proofs 22:55 - From specialized models to Deep Think 24:22 -  Do math skills generalize? 25:53 - Generalizing the IMO model 27:43 - Democratizing AI science tools 30:09 - AI Co-scientist 35:17 - An API for science?

    37 分鐘
  8. Behind the scenes of Google's state-of-the-art "nano-banana" image model

    8月27日

    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 introduction 1:21 -Demo - Image Editing 3:44 - Text rendering capabilities 4:44 Beyond human preference evals 6:44 - Text rendering as a proxy for quality 8:38 - Positive transfer between modalities 11:25 - Demo - Multi-turn, context aware image generation 13:54 - Pixel-perfect editing and character consistency 15:51 - Interleaved image generation 17:59 - Specialized vs. native models 19:52 - Understanding nuanced prompts 20:59 - User feedback shaping model development 22:37 - Improvements in character consistency 24:17 - More natural looking images from team collaboration 26:41 - What’s next for image generation models

    31 分鐘
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簡介

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.

資訊

  • 創作者
    Google AI
  • 活躍年代
    2024年 - 2025年
  • 集數
    21
  • 年齡分級
    兒少適宜
  • 版權
    © 2024 Google
  • 節目網站
    Google AI: Release Notes

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