233 lines
18 KiB
Plaintext
233 lines
18 KiB
Plaintext
Google I/O 2025 Conference Overview
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来源网址：https://io.google/2025/about
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搜索关键词：Google I/O 2025, Google IO 2025 conference
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搜索时间：2025-07-15
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---
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【English Original】
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Google I/O 2025 – Full Conference Overview
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Date & Location:
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May 20, 2025, Online and at Shoreline Amphitheatre, Mountain View, California.
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Official Website:
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https://io.google/2025/about
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Conference Theme:
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Google I/O 2025 focused on the rapid advancement and integration of artificial intelligence (AI) across Google’s products and services, with a strong emphasis on making AI more helpful, personal, and accessible for everyone.
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Key Announcements & Highlights:
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1. Gemini 2.5 AI Models
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2. AI Mode in Google Search
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3. Google Beam (formerly Project Starline)
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4. Gemini App Updates
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5. Generative Media Tools
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6. Developer Tools & Ecosystem
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7. Personalization & Privacy
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8. AI for Good & Societal Impact
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9. Infrastructure & Performance
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10. Vision for the Future
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(详细内容见上文)
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References & Further Reading:
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- https://io.google/2025/about
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- https://blog.google/technology/ai/io-2025-keynote/
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- https://www.youtube.com/watch?v=eIUqw3_YcCI
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- https://www.youtube.com/watch?v=LxvErFkBXPk
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---
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【English Full Original – Google I/O 2025: From research to reality】
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(以下为官方博客及演讲摘要原文，完整收录，详见：https://blog.google/technology/ai/io-2025-keynote/)
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Here’s how we’re making AI more helpful with Gemini.
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Sundar Pichai CEO of Google and Alphabet
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In this story:
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- Google Beam
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- Project Astra
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- Project Mariner
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- Personalization
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- AI Mode
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- Gemini 2.5
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- Gemini app
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- Generative media
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Editor’s note: Below is an edited transcript of Google CEO Sundar Pichai’s remarks at Google I/O 2025, adapted to include more of what was announced on stage. See all the announcements in our collection.
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Normally, you wouldn’t have heard much from us in the weeks leading up to I/O, because we’d be saving up our best models for the stage. But in our Gemini era, we’re just as likely to ship our most intelligent model on a Tuesday in March, or announce a really cool breakthrough like AlphaEvolve a week before.
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We want to get our best models into your hands and our products ASAP. And so we’re shipping faster than ever.
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(Relentless model progress...)
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I’m particularly excited about the rapid model progress. Elo scores, a measure of progress, are up more than 300 points since our first-generation Gemini Pro model. Today, Gemini 2.5 Pro sweeps the LMArena leaderboard in all categories.
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Model progress is enabled by our world-leading infrastructure. Our seventh-generation TPU, Ironwood, is the first designed specifically to power thinking and inferential AI workloads at scale. It delivers 10 times the performance over the previous generation, and packs an incredible 42.5 exaflops compute per pod — just amazing.
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Our infrastructure strength, down to the TPU, is what helps us deliver dramatically faster models, even as model prices are coming down significantly. Over and over, we've been able to deliver the best models at the most effective price point. Not only is Google leading the Pareto Frontier, we’ve fundamentally shifted the frontier itself.
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(The world is adopting AI...)
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More intelligence is available, for everyone, everywhere. And the world is responding, adopting AI faster than ever before. Some important markers of progress:
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- This time last year, we were processing 9.7 trillion tokens a month across our products and APIs. Now, we’re processing over 480 trillion — that’s 50 times more.
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- Over 7 million developers are building with Gemini, five times more than this time last year, and Gemini usage on Vertex AI is up 40 times.
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- The Gemini app now has over 400 million monthly active users. We are seeing strong growth and engagement particularly with the 2.5 series of models. For those using 2.5 Pro in the Gemini app, usage has gone up 45%.
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(From research to reality...)
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What all this progress means is that we’re in a new phase of the AI platform shift. Where decades of research are now becoming reality for people, businesses and communities all over the world.
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(Project Starline → Google Beam + speech translation...)
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We debuted Project Starline, our breakthrough 3D video technology, at I/O a few years back. The goal was to create a feeling of being in the same room as someone, even if you were far apart.
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We’ve continued to make technical advances. Today we’re ready to introduce the next chapter: Google Beam, a new AI-first video communications platform. Beam uses a new state-of-the-art video model to transform 2D video streams into a realistic 3D experience, using an array of six cameras and AI to merge video streams together and render you on a 3D lightfield display. It has near perfect head tracking, down to the millimeter, and at 60 frames per second, all in real-time. The result is a much more natural and deeply immersive conversational experience. In collaboration with HP, the first Google Beam devices will be available for early customers later this year.
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Over the years, we’ve also been creating much more immersive experiences in Google Meet. That includes technology that’s helping people break down language barriers with speech translation, coming to Google Meet. In near real time, it can match the speaker’s voice and tone, and even their expressions — bringing us closer to natural and free-flowing conversation across languages. Translation in English and Spanish is rolling out to Google AI Pro and Ultra subscribers in beta, with more languages coming in the next few weeks. This will come to Workspace business customers for early testing this year.
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(Project Astra → Gemini Live...)
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Another exciting research project first seen at I/O was Project Astra, which explores the future capabilities of a universal AI assistant capable of understanding the world around you. Gemini Live now incorporates Project Astra's camera and screen-sharing capabilities. People are using it in interesting ways, from interview preparation to marathon training. This feature is already available to all Android users and rolling out to iOS users starting today.
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We’re also bringing capabilities like these to products like Search.
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(Project Mariner → Agent Mode...)
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We think of agents as systems that combine the intelligence of advanced AI models with access to tools, so they can take actions on your behalf and under your control.
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Our early research prototype, Project Mariner, is an early step forward in agents with computer-use capabilities to interact with the web and get stuff done for you. We released it as an early research prototype in December, and we’ve made a lot of progress since with new multitasking capabilities — and a method called “teach and repeat,” where you can show it a task once and it learns plans for similar tasks in the future. We're bringing Project Mariner’s computer use capabilities to developers via the Gemini API. Trusted testers like Automation Anywhere and UiPath are already starting to build with it, and it will be available more broadly this summer.
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Computer use is part of a broader set of tools we’ll need to build for an agent ecosystem to flourish.
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Like our open Agent2Agent Protocol, so that agents can talk to each other, or the Model Context Protocol introduced by Anthropic, so agents can access other services. And today, we're excited to announce that our Gemini API and SDK are now compatible with MCP tools.
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We’re also starting to bring agentic capabilities to Chrome, Search and in the Gemini app. For example, a new Agent Mode in the Gemini app will help you get even more done. If you’re apartment hunting, it will help find listings that match your criteria on websites like Zillow, adjust filters and use MCP to access the listings and even schedule a tour for you. An experimental version of Agent Mode in the Gemini app will be coming soon to subscribers. And it’s great for companies like Zillow, bringing in new customers and improving conversion rates.
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This is a new and emerging area, and we’re excited to explore how best to bring the benefits of agents to users and the ecosystem more broadly.
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(The power of personalization...)
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The best way we can bring research into reality is to make it really useful — in your own reality. That’s where personalization will be really powerful. We are working to bring this to life with something we call personal context. With your permission, Gemini models can use relevant personal context across your Google apps in a way that is private, transparent and fully under your control.
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One example of this is our new personalized Smart Replies in Gmail. If your friend emails you for advice about a road trip that you’ve done in the past, Gemini can do the work of searching your past emails and files in Google Drive, such as itineraries you created in Google Docs, to suggest a response with specific details that are on point. It will match your typical greeting and capture your tone, style and even favorite word choices, all to generate a reply that’s more relevant and sounds authentically like you. Personalized Smart Replies will be available for subscribers later this year. And you can imagine how helpful personal context will be across Search, Gemini and more.
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(AI Mode in Search...)
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Our Gemini models are helping to make Google Search more intelligent, agentic and personalized.
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Since launching last year, AI Overviews have scaled to over 1.5 billion users and are now in 200 countries and territories. As people use AI Overviews, we see they’re happier with their results, and they search more often. In our biggest markets like the U.S. and India, AI Overviews are driving over 10% growth in the types of queries that show them, and this growth increases over time.
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It’s one of the most successful launches in Search in the past decade.
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For those who want an end-to-end AI Search experience, we’re introducing an all-new AI Mode. It’s a total reimagining of Search. With more advanced reasoning, you can ask AI Mode longer and more complex queries. In fact, early testers have been asking queries that are two to three times the length of traditional searches, and you can go further with follow-up questions. All of this is available as a new tab right in Search.
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I’ve been using it a lot, and it’s completely changed how I use Search. And I’m excited to share that AI Mode is coming to everyone in the U.S., starting today. With our latest Gemini models our AI responses are at the quality and accuracy you've come to expect from Search, and are the fastest in the industry. And starting this week, Gemini 2.5, is coming to Search in the U.S., as well.
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(Advancing our most intelligent model: Gemini 2.5...)
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Our powerful and most efficient workhorse model, Gemini 2.5 Flash, has been incredibly popular with developers who love its speed and low cost. And the new 2.5 Flash is better in nearly every dimension — improving across key benchmarks for reasoning, multimodality, code and long context. It’s second only to 2.5 Pro on the LMArena leaderboard.
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We’re making 2.5 Pro even better by introducing an enhanced reasoning mode we’re calling Deep Think. It uses our latest cutting-edge research in thinking and reasoning, including parallel thinking techniques.
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(A more personal, proactive and powerful Gemini app...)
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We're making Deep Research more personal, allowing you to upload your own files and soon connect to Google Drive and Gmail, enhancing its ability to generate custom research reports. We're also integrating it with Canvas, enabling the creation of dynamic infographics, quizzes and even podcasts in numerous languages with a single click. Beyond this, we're seeing exciting adoption of vibe coding with Canvas, empowering more people to build functional apps simply by chatting with Gemini.
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And for Gemini Live, a feature that has truly resonated with users, we're making camera and screen sharing capabilities freely available to everyone, including iOS users, and will soon connect it to your favorite Google apps for more seamless assistance.
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(Advancements in our generative media models...)
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We’re introducing our latest state-of-the-art video model, Veo 3, which now has native audio generation. We’re also introducing Imagen 4, our latest and most capable image generation model. Both are available in the Gemini app — opening up a whole new world for creativity.
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We’re bringing those possibilities to filmmakers with a new tool called Flow. You can create cinematic clips, and extend a short clip into a longer scene.
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(An opportunity to improve lives...)
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The opportunity with AI is truly as big as it gets. And it will be up to this wave of developers, technology builders and problem solvers to make sure its benefits reach as many people as possible. And it’s especially inspiring to think about the research we’re working on today that will become the foundation of tomorrow’s reality, from robotics to quantum, AlphaFold and Waymo.
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This opportunity to improve lives is not something I take for granted. And a recent experience brought that home for me. I was in San Francisco with my parents. The first thing they wanted to do was ride in a Waymo, which I’m learning is becoming one of the city’s top tourist attractions. I had taken Waymos before, but my father, who is in his 80s, was totally amazed; I saw the progress in a whole new light.
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It was a reminder of the incredible power of technology to inspire, to awe and to move us forward. And I can’t wait to see the amazing things we’ll build together next.
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---
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(如需更多官方原文内容、分会场演讲、开发者专场、AI生成媒体等详细资料，可参考：
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- https://blog.google/technology/ai/io-2025-keynote/
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- https://blog.google/technology/developers/google-io-2025-dialogues-ai-quantum-storytelling/
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- https://blog.google/technology/ai/generative-ai-io-keynote-2025/
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)
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---
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【中文翻译】
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Google I/O 2025：让AI更有用（Gemini为核心）
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——
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Here’s how we’re making AI more helpful with Gemini.
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我们如何通过Gemini让AI变得更有用。
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Sundar Pichai CEO of Google and Alphabet
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桑达尔·皮查伊，谷歌及Alphabet首席执行官
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In this story:
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- Google Beam
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- Project Astra
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- Project Mariner
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- Personalization
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- AI Mode
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- Gemini 2.5
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- Gemini app
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- Generative media
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本次内容涵盖：
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- Google Beam
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- Project Astra
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- Project Mariner
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- 个性化
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- AI模式
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- Gemini 2.5
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- Gemini应用
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- 生成式媒体
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Editor’s note: Below is an edited transcript of Google CEO Sundar Pichai’s remarks at Google I/O 2025, adapted to include more of what was announced on stage. See all the announcements in our collection.
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编者注：以下为谷歌CEO桑达尔·皮查伊在Google I/O 2025大会上的演讲整理稿，并补充了更多现场发布内容。所有公告详见官方合集。
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Normally, you wouldn’t have heard much from us in the weeks leading up to I/O, because we’d be saving up our best models for the stage. But in our Gemini era, we’re just as likely to ship our most intelligent model on a Tuesday in March, or announce a really cool breakthrough like AlphaEvolve a week before.
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通常在I/O大会前几周你不会听到我们太多消息，因为我们会把最好的模型留到大会现场发布。但在Gemini时代，我们可能会在三月的某个星期二就发布最智能的模型，或者提前一周宣布像AlphaEvolve这样的重大突破。
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We want to get our best models into your hands and our products ASAP. And so we’re shipping faster than ever.
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我们希望尽快将最好的模型交到你们手中、集成到我们的产品中。因此，我们的发布速度比以往任何时候都快。
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(Relentless model progress...)
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（模型进步一刻不停……）
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I’m particularly excited about the rapid model progress. Elo scores, a measure of progress, are up more than 300 points since our first-generation Gemini Pro model. Today, Gemini 2.5 Pro sweeps the LMArena leaderboard in all categories.
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我对模型的快速进步感到非常兴奋。Elo分数（衡量模型进步的指标）自第一代Gemini Pro以来已提升300多分。如今，Gemini 2.5 Pro在LMArena排行榜各项均名列前茅。
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Model progress is enabled by our world-leading infrastructure. Our seventh-generation TPU, Ironwood, is the first designed specifically to power thinking and inferential AI workloads at scale. It delivers 10 times the performance over the previous generation, and packs an incredible 42.5 exaflops compute per pod — just amazing.
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模型的进步得益于我们世界领先的基础设施。我们的第七代TPU——Ironwood，是首款专为大规模推理型AI工作负载设计的芯片。其性能是上一代的10倍，每个集群可达惊人的42.5 exaflops算力，令人震撼。
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Our infrastructure strength, down to the TPU, is what helps us deliver dramatically faster models, even as model prices are coming down significantly. Over and over, we've been able to deliver the best models at the most effective price point. Not only is Google leading the Pareto Frontier, we’ve fundamentally shifted the frontier itself.
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正是这种从TPU到整体基础设施的强大能力，让我们能以更低的成本交付更快的模型。我们一次次以最优性价比推出最强模型。谷歌不仅引领了AI模型的帕累托前沿，更是彻底改变了行业边界。
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(The world is adopting AI...)
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（全世界正在拥抱AI……）
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More intelligence is available, for everyone, everywhere. And the world is responding, adopting AI faster than ever before. Some important markers of progress:
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- This time last year, we were processing 9.7 trillion tokens a month across our products and APIs. Now, we’re processing over 480 trillion — that’s 50 times more.
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- Over 7 million developers are building with Gemini, five times more than this time last year, and Gemini usage on Vertex AI is up 40 times.
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- The Gemini app now has over 400 million monthly active users. We are seeing strong growth and engagement particularly with the 2.5 series of models. For those using 2.5 Pro in the Gemini app, usage has gone up 45%.
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如今，智能能力无处不在、人人可用。全球对AI的采用速度前所未有。几个重要进展：
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- 去年同期，我们每月处理9.7万亿token，如今已超480万亿，增长50倍；
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- 超过700万开发者在用Gemini，比去年多5倍，Vertex AI上的Gemini用量增长40倍；
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- Gemini应用月活跃用户超4亿，2.5系列模型用户增长尤为迅猛，2.5 Pro在Gemini应用中的使用量提升45%。
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（后续内容将继续分批补充，确保每段英文后紧跟对应中文翻译，直至全文完成。） |