Making AI helpful for everyone. Show thinking ↓

Mountain View, CA
Joined April 2009
Gemini 4️⃣ Argon ✨ is now rolling out globally. Our frontier model is built for complex, real-world tasks across coding, finance, legal, cybersecurity, and science. Check out how you can use Argon in your favorite Google product 🧵
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See a fully-explorable 3D world build itself in minutes ⛩️ Watch @GoogleDeepMind's @GeokenAI explain how Gemini 4 Argon acts as a virtual builder in @antigravity to autonomously create a stunning, multi-tiered pagoda sanctuary.
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Textbook biology, brought to life right in your browser 🌿 This interactive 5-stage visual atlas built by Argon in @antigravity turns dense textbook biology into a hands-on experience. With fluid animations and scientific precision, you can scroll from a sunlit leaf all the way down to sub-cellular chloroplasts. The model pairs accuracy with a seamless interactive design, demonstrating how to build educational tools that can make complex science visual and effortless to explore.
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We’ve been exploring the potential of using Gemini 4 Argon to accelerate research @Google. One of our tests was using videos of humans performing fun tasks (game of bags, anyone?) to autonomously spin up training simulations, rather than relying entirely on manual programming. Hear from our research team and see the results in action as our humanoid robot studies the videos, runs the simulations, and masters the game of cornhole.
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See how Argon uses the Gemini API and Managed Agents to act as your personal game developer, turning your ideas into a playable pixel-art retro arcade game delivered right to your screen.
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Gemini 4 Argon is available: — For developers: Build with the Gemini API paid tier and if you’re a Google AI Ultra subscriber, you can try it in @antigravity, @GoogleAIStudio, and @Android Studio. — For enterprises: Try it in Gemini for business, the API, and @antigravity. — For everyday users: Try it starting today in the @GeminiApp and AI Mode in Search if you’re a Google AI Ultra or Pro subscriber. — For scientists & researchers: Apply for a chance to get access to @antigravity highest usage tier free of charge for 6 months (onboarded on a rolling basis), subject to eligibility, capacity, and selection. Applications are now open. — For cybersecurity defenders: Apply to join the Fairwind Program to get access to Argon without cyber guardrails on a rolling basis. blog.google/innovation-and-a…
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It’s Friday 🎉 Here’s a look at this week’s announcements: — SynthID.com is now available globally in English, allowing anyone to use our detector portal to easily verify if images, video, or audio files were AI-generated by Google or industry partners — Nano Banana 2.1, featuring leaps in visual design, subject consistency, and precise spot editing that lets you change specific details without altering the whole image — EmbeddingGemma 2, our first natively multimodal open model that unifies text, images, video, audio, and code into a single space for on-device embeddings — @GoogleGemma 4 paired with BOTANIC-1, a specialized AI trained on plant DNA, to rapidly pinpoint the exact mutations that make crops thrive — Gemini agent for your business, a universal cloud agent running 24/7 to get your work done — Guided Vision in Gemini Live, offering real-time visual assistance and dynamic audio descriptions via your camera, built alongside the blind and low-vision community
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Our SynthID technology lets you easily verify if an image, video, or audio file is AI-generated, and today we’re expanding access. Now anyone can go to synthid.com to check files for a SynthID watermark — whether they were generated by us or industry partners like @OpenAI, @nvidia, Kakao, and, coming soon, @Apple. To date, we’ve watermarked 180 billion images and videos and more than 240,000 years of audio content, regularly handling 1 million verification requests daily. This new portal joins our built-in verification features already live in Search, @GeminiApp, and @googlechrome.
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Project Suncatcher has liftoff! ☀️🚀 Announced last year, this moonshot project explores if we can one day host machine learning infrastructure in space. After years of research, we’ve just launched a prototype satellite, built in partnership with @planet, into orbit on @SpaceX's Transporter-18 rideshare mission. This initial mission will gather data on how @Google TPUs handle the physical stress and extremes of spaceflight. Ultimately, these findings will help us explore how to potentially link multiple satellite constellations for scaled machine learning. By operating in low Earth orbit, these systems can tap into near-constant sunlight to generate up to 8x more solar power than on Earth.
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Announcing Gemini 4 Argon, our new frontier model. Argon is built to sustain deep reasoning across complex, long-horizon workflows and delivers frontier performance in complex workflows across real-world software engineering, enterprise knowledge work like legal and finance, and cybersecurity defense. We’re also expanding the model’s output token limit to an industry-leading 1M tokens. Argon is currently rolling out to a set of trusted cyber defenders in the Fairwind Program, with broader availability as soon as possible.
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Check out this week's updates and releases: — Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS, two of our most expressive audio generation models yet — Gemini 3.8 Live with Live Avatar, bringing near real-time visual presence to Gemini’s conversational AI — @Gemini_Notebook Interactive Learning Overviews, giving all users an interactive hub to combine source summaries and artifacts — Live Chat on the @Gemini_Notebook mobile app, bringing real-time, hands-free voice conversations across ~100 languages — Project Suncatcher, our moonshot announced last year, will launch a prototype satellite to test @Google TPUs in orbit and explore solar-powered AI compute in space
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We’re launching Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS ⚡️ Our most expressive audio models yet let you create custom voices across 100+ languages or pick from 2,000+ ready-to-use ones. You can direct back-and-forth conversations, guide the delivery line-by-line, and add natural cues like or an active listening interjection like |mhm| all while generating hours of consistent, glitch-free audio. Sounds pretty cool, right? So… how should you use them? — Gemini 3.8 Flash TTS: Need to design bespoke vocal personas from scratch and with line-by-line level control? This is the model! Built for high-fidelity creative production like gaming, immersive audiobooks, and podcasts. — Gemini 3.8 Flash-Lite TTS: Want the AI to automatically adjust its tone and pacing on the fly for near real-time voice agents? This is your engine! Built for cost-efficient scale, high-volume dubbing, and bulk audio creation.
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Rolling out starting today: — Developers: Both models in @GoogleAIStudio and the Gemini API — Consumers: Gemini 3.8 Flash TTS in @Gemini_Notebook and Gemini 3.8 Flash-Lite TTS in Google Vids — Coming soon: Both models in Gemini Enterprise blog.google/innovation-and-a…
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