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The engine room of @Google. Building AI safely and responsibly to solve the world’s most complex problems. Join us: https://xitter.twitterapi.xyz/t.co/jUHQA27iBL

London, UK
Joined January 2016
Photo by Google DeepMind (@GoogleDeepMind)Photo by Google DeepMind (@GoogleDeepMind)Photo by Google DeepMind (@GoogleDeepMind)Photo by Google DeepMind (@GoogleDeepMind)Photo by Google DeepMind (@GoogleDeepMind)Photo by Google DeepMind (@GoogleDeepMind)Photo by Google DeepMind (@GoogleDeepMind)Photo by Google DeepMind (@GoogleDeepMind)Photo by Google DeepMind (@GoogleDeepMind)Photo by Google DeepMind (@GoogleDeepMind)
Gemini Robotics 2.5 is here. 🤖 Our latest physical AI is able to learn hundreds of everyday skills - from folding laundry and serving pastries to autonomously sorting car parts on the factory floor. Here’s a snapshot of its capabilities 🧵
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Finding the exact genetic cause of a rare disease is like looking for a needle in a haystack. 🪡 On our podcast, @fryrsquared explores with @Avsecz and @adamgayoso how AlphaGenome 2 helps scientists test millions of DNA changes to find vital clues for human health. Timecodes: 00:00 Introduction to AlphaGenome 04:01 Genotype, Phenotype & DNA 08:30 Transformers to AlphaGenome 12:11 Mapping the Genome 17:45 Rare disease cases 21:10 AlphaGenome 2 30:06 Future vision 38:45 Hannah's thoughts
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Your heart, brain, and immune system share the same DNA sequence. So how can a single-letter change affect disease in some cells, while sparing the rest? AlphaGenome 2 is our new AI model that zooms in on specific cells to help scientists understand what drives disease. 🧵
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Looking at a whole tissue at once is like looking at a blurry image: you get the visuals, but miss what’s happening inside individual pixels. Trained on 100M+ profiles across 68 tissues, AlphaGenome 2 focuses on one cell type at a time, spotting nearly twice as many mutations that turn genes on and off as our previous model.
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For the first time, AI has mathematically proven @signalapp’s protocol is secure down to the code level. Using our breakthrough AlphaProof Code framework, we verified the messaging app’s cryptographic system – which protects billions of private messages every day.
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Gemini agents generated over 6M lines of proofs in Lean, auditing the code so human experts only had to review the critical 1%. This is a key step toward using AI to verify vital infrastructure we all rely on – from daily communication to power grids. Find out more → goo.gle/4BLrkbk
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Start building with Gemini 4 Carbon: our strongest model for complex, long-horizon tasks. It’s designed to explore problems thoroughly and run extended verification loops across software engineering, cybersecurity, knowledge work, and science.
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From synthesizing dense multimodal files to building interactive 3D web experiences, or even uncovering software vulnerabilities, Carbon helps solve problems that require sustained reasoning. Now rolling out in: 🔘 The @GeminiApp and AI Mode in Search for Google AI Ultra subscribers. 🔘 Gemini 4 Carbon is available via the API in @GoogleAIStudio and Gemini for business for all paying developers and enterprises 🔘 Gemini for business, CodeMender, and Google Antigravity for enterprise use goo.gle/48Jd6ud
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We’re sharing new research demonstrating how AI agents can accelerate the science of stress-testing encryption. Guided by humans, our models uncovered two major weaknesses in legacy 1024-bit RSA cryptosystems. Our VP Science @Pushmeet explains more ↓ xitter.twitterapi.xyz/pushmeet/status/211875…
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While modern 2048-bit systems remain safe from these specific exploits, this work highlights a key shift. As we enter a new era of AI-enabled math and computation, we can no longer rely on historical hardness assumptions and must continuously stress-test cryptographic standards.
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We built PlanAssist to help UK Government planning officers speed up building and renovations across the country. Built with Gemini, it has shown it can cut the time planning officers spend assessing householder applications by up to 58%. It is now being made available to 12 more councils to help them to make faster decisions. 🏡 → goo.gle/4iQXYkl
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Gemini 4 Carbon is our next frontier model. It’s state-of-the-art across cybersecurity and long-horizon capabilities.
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Carbon can work through complex tasks for days without getting stuck or taking shortcuts – delivering high-quality, reliable code. Feedback from an initial group of cyber defenders will help us iterate on guardrails before we expand access soon. Find out more ↓ goo.gle/4BCFvj8
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This is Genie 4, our most realistic and interactive world model yet. 🌐 Explore dynamic environments in real time to see how the scene responds, sounds, and how the people in it move, react, and speak.
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Here’s what’s new with Genie 4: 🔵 Photorealism: Built on Gemini Omni for lifelike detail across spaces and subjects 🔵 Advanced physics: Aerodynamics, collisions, and people who move naturally 🔵 Real-time controls: Prompt to change the scene, add elements, or interact with characters 🔵 Native audio: Ambient sound, music, background noise, and interactive dialogue 🔵 Gemini reasoning: Plans multi-step events to maintain coherence as scenes evolve These capabilities are a step toward developing safe virtual environments to see how agents and robots navigate their surroundings. We’re exploring early use cases with trusted testers first, before bringing the model to Google AI Ultra subscribers in Project Genie and early access partners in our API and @GoogleAIStudio soon. Find out more → goo.gle/48idm3b
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Using a single Nano Banana image and Blender MCP, Gemini 4 Argon built a 3D Gothic cathedral in @Antigravity. It iterates on the geometry, textures, and lighting to create the finished scene.
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Not all forests are equal, and now we can map the difference. 🌳 Meet Forest Typology (ForTy): a 10m map of natural, planted, and farmed forests to help identify deforestation and protect the forests that matter most. 🧵
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An untouched natural forest holds far more carbon and biodiversity than a single-species timber plantation harvested every decade or two. ForTy sorts every 10x10m patch of land on Earth into distinct forest and tree-crop types ↓
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Gemini 4 Argon combined three open-source datasets to build an interactive 3D visualization of human anatomy. Toggle different layers in motion, isolate muscles, or zoom inside a beating heart.
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Gemini 4 Argon built a 3D periodic table synced to Tom Lehrer’s song, “The Elements.” Created in @Antigravity, it animates orbiting electrons, atomic data, and light spectra.
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Four Gemini 4 Argon agents beat Minecraft from scratch in 27 hours. Operating in a sandbox using only code and text, they wrote 2,783 programs, divided up jobs over chat, shared notes, and debugged errors together - all with no human help ↓ xitter.twitterapi.xyz/maxencefaldor/status/2…
Four Gemini 4 Argon agents, one shared Minecraft world, one goal: defeat the Ender Dragon. 27 hours and 2,783 self-written programs later, the dragon fell.
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Together with scientists around the world, our models and tools are helping make disease more detectable, treatable, and preventable. 🧬 From pinpointing rare genetic variants to speeding up drug discovery, here’s how we’re helping turn lab breakthroughs into real-world care → goo.gle/4i48Cmr
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SynthID has been named one of @TIME's Best Inventions of 2026. With over 180 billion images and videos already watermarked, it’s making it easier for people to distinguish AI-generated content from other media → goo.gle/4jsZxWF
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Gemini 4 Argon is already unlocking new scientific breakthroughs in quantum computing, nuclear fusion, protein design and beyond. 🧵
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Argon is helping accelerate progress across both quantum error correction and algorithm design. 🧮 xitter.twitterapi.xyz/benjaderberg/status/21…
Replying to @benjaderberg
First, we used Argon to translate an internal version of our quantum error correction decoder, AlphaQubit, into a single, highly optimized hardware “megakernel,” nearly doubling inference throughput.
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Over half of reported crimes in Singapore use sophisticated social engineering. With @GovTechSG, we’re building on-device fraud detection using our open model Gemma. By fine-tuning it on local scam tactics, it identifies threats in real time without compromising personal privacy → goo.gle/4ygVkJa
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Gemini 4 Argon taught a robot to play cornhole just by watching a video. It mapped the physics, coded its own simulation, and taught @Apptronik's Apollo humanoid to sink 7 throws in a row.
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By turning video into a training ground for physical AI, Argon compresses weeks of manual modeling into just a few hours. ↓ goo.gle/3VxIB7v
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Gemini 4 Argon is now globally available. Built to solve your hardest problems from start to finish, the model brings frontier capabilities across coding, enterprise workflows, and cyber defense.
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Here’s how you can try it: 🔵 Everyday users: In the @GeminiApp and AI Mode in Search for Google AI Pro and Ultra subscribers. 🔵 Developers: Gemini API paid tier, plus @Antigravity and @GoogleAIStudio for Google AI Ultra subscribers. 🔵 Scientists: Apply for the top usage tier in @Antigravity free of charge. 🔵 Enterprises: Gemini for business and in Antigravity. Find out more → goo.gle/3W85sXj
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