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Google DeepMind (@GoogleDeepMind)

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Gemini 3.7 Flash is here. It’s stronger for coding, knowledge work, and web development. 🧵
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We sat down with Apollo 2 to talk about what it's really like running on Gemini Robotics 2. 🤖
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Predicting cyclones accurately can help save lives - and every hour of lead time counts. Published in @Nature, our AI model WeatherNext achieves state-of-the-art accuracy in forecasting a storm’s track and intensity, giving us a critical extra 24 hours to prepare on average. 🧵
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Gemini 3.6 Flash builds directly on feedback from 3.5 Flash. Watch how it compares on quality and token usage ↓
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We’re rolling out three new models to make AI agents faster, smarter, and cheaper at scale: 🔵 Gemini 3.6 Flash: It uses fewer tokens than 3.5 Flash to deliver higher quality work at the exact same cost. 🔵 Gemini 3.5 Flash-Lite: A fast, cost-effective option for everyday tasks like processing documents and agentic search. 🔵 Gemini 3.5 Flash Cyber: A cybersecurity model built to find and patch critical software vulnerabilities.
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A model’s chain of thought acts like a scratch pad, offering a window into its reasoning. 📝 On the latest episode of our podcast, host @fryrsquared sits down with @NeelNanda5 to explore interpretability – the science of reverse engineering how neural networks learn and think. Timecodes: 00:00 Introduction 02:41 Motivation for interpretability research 04:01 Mechanistic interpretability 08:14 Chain of thought monitoring 18:14 Interpretability techniques 35:00 Auditing models for safety 48:53 What comes next for interpretability
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Nano Banana 2 Lite delivers text-to-image outputs in just 4 seconds. It’s designed for quicker ideation and workflows where speed and cost are the primary roadblocks.
SynthID, our imperceptible watermark for AI-generated content, is expanding to more partners. We’re also adding new ways to find out if content was generated using AI - just ask in the @GeminiApp or in @Google Search.
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Project Genie 🤝 @GoogleMaps Street View You can now take real U.S. places and transform them into new, interactive worlds. 🌍
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Introducing Gemini 3.5: our newest family of models combining frontier intelligence with real-world action. The first release is 3.5 Flash, our strongest model yet for agents and coding 🧵
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We’re dropping Gemini Omni: our first step towards a model that can create anything from anything - starting with video. It combines Gemini’s intelligence with our generative media systems - representing a leap forward in world understanding, multimodality, and editing 🧵
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Can your AI agent win our new simulated challenge? 🧑‍🌾 The all-new capstone challenge for our 5-Day AI Agents: Intensive Vibecoding Course with @Google is here: Kaggriculture! Join our no-cost, hands-on course designed by Google researchers and engineers from June 15–19 to learn how to build and deploy your own winning AI agent.
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These capabilities are guiding how we think about the next generation of interfaces. As we continue exploring what an AI-enabled mouse pointer would unlock, try our experiments in @GoogleAIStudio
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For decades, your mouse only tracked where you were pointing. AI helps it understand what you're pointing at. 💭 This means a photo of a scribbled note could turn into an interactive to-do list, or a paused video frame can become a restaurant booking link.
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Current models require precise instructions, but our AI-enabled pointer removes that burden. 💡 By "seeing" what’s under your cursor, it instantly understands the specific word, image, or code block you need help with.
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In the real world, we don't tend to speak in long paragraphs; we point and say: "fix this" or "move that". 💬 By combining gestures with speech, it lets you use natural shorthand to complete tasks.
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With an AI-enabled pointer, help is always available where you’re working - without having to detour to additional apps. 📲 Point at a PDF and request bullet points for an email, hover over a table to ask for a pie chart, or highlight a recipe and simply say: "double these ingredients."
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We’re reimagining a 50-year-old interface - the mouse pointer - with AI. 🖱️ These experimental demos show how people can intuitively direct Gemini on their screens using motion, speech, and natural shorthand to get things done 🧵
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New Preprint in collaboration with @GoogleDeepMind: AI-guided discovery of atypical protein assemblies The @kamounlab discovered an 11-protomer complex through the Structural Novelty Index , a new way to use AlphaFold for atypical protein assemblies
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