The engine room of @Google. Building AI safely and responsibly to solve the world’s most complex problems. Join us: deepmind.google/careers/

London, UK
Create and deploy custom audio with our new text-to-speech models: 🔵 Gemini 3.8 Flash TTS: Design unique voices with distinct accents and characteristics. 🔵 Gemini 3.8 Flash-Lite TTS: Built for efficiency and scale, choose from your created styles or our expansive production-ready library.
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Google DeepMind retweeted
Power your agents: Gemini 3.8 Live with Live Avatar is now generally available in Gemini Enterprise. Key capabilities include: video avatars, fluid dialogue, tool calling, and more. Start building today ↓ goo.gle/4y8lf6A
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Create and deploy custom audio with our new text-to-speech models: 🔵 Gemini 3.8 Flash TTS: Design unique voices with distinct accents and characteristics. 🔵 Gemini 3.8 Flash-Lite TTS: Built for efficiency and scale, choose from your created styles or our expansive production-ready library.
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Fine-tune the delivery line by line, shaping pacing, emotion, and cues like laughs or pauses. All generated audio is watermarked with SynthID so it can be reliably identified as AI-generated. Start building with the Gemini API via @GoogleAIStudio. Find out more → goo.gle/4dw40ns
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Researchers at @BroadInstitute, @UniofExeter, and beyond are already using AlphaGenome Atlas to better identify potential disease-causing DNA variants and interpret their role. 🧵

ALT Glowing pink DNA double helix against a dark blue, starry background, with one highlighted orange base pair.

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Every second, millions of genome switches dictate how our cells function and adapt. 🧬 Working with @ScienceStowers, Atlas mapped 2,500+ regulatory patterns uncovering the DNA sequences that act as biological switches and volume dials to turn gene activity up or down across hundreds of cell types.
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These discoveries are just the beginning. AlphaGenome Atlas is freely accessible to empower researchers everywhere to decode the genetic causes of disease. Explore the database → goo.gle/4heuCvn
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Google DeepMind retweeted
My journey to develop AGI spans 25 yrs, including 10+ yrs thinking about technical & societal perspectives at Google DeepMind. AGI is on the horizon - we need deeper understanding of its implications. To help, we've created the DeepMind Institute.
Article

Introducing the DeepMind Institute

We are on the cusp of a profound transformation. Today’s AI systems have impressive capabilities and the rapid pace of innovation suggests we’re now approaching artificial general intelligence (AGI),

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We’re introducing Gemini 3.8 Live and 3.8 Live Extended Thinking – our best conversational AI. The models talk, think, and handle tasks in the background without breaking your flow. 🧵
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Watch how we used 3.8 Live Extended Thinking to act as a programming tutor. Both models feature: 🔵 Upgraded reasoning 🔵 Near real-time visual understanding 🔵 Automatic detection for 97 languages 🔵 Background tool calling without disrupting your chat For your most difficult tasks, 3.8 Live Extended Thinking adds increased performance and precision – narrating task progress to keep the conversation going. Try it now in Gemini Live in the @GeminiApp or start building with the Gemini API via @GoogleAIStudio. Find out more → goo.gle/4xWn2vo
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Weather forecasts play a critical role in the transition to renewables. WeatherNext 3 provides grid operators as well as wind and solar power producers with predictions for turbine-height wind speeds and solar radiation, enabling smarter, cleaner energy planning. 🧵
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Because conditions can shift quickly, WeatherNext 3 updates every single hour: 💨 For wind farms: Predicts speed and direction at turbines as high as 100m to project power generation. ☀️ For solar farms: Forecasts cloud cover and radiation to estimate sunlight levels reaching solar panels.
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Giving teams a look ahead at rapidly changing weather helps them balance power grids and match clean energy to everyday consumer demand. 🌍 Find out more about WeatherNext 3 → goo.gle/4zQe5Fc
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How can we reconstruct a memory that was never filmed? Our team paired restored archival photos with pose control models to capture the mannerisms and micro-expressions of Burt and Ethelle. This helped bring the day they first met to life for Love, Rendered, a new documentary in collaboration with @PrimordialSoup_ and @StorySyndicate_. Watch the full film on YouTube → goo.gle/3V8m94m
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Google DeepMind retweeted
🧵We conducted an experiment with 100 agents by giving them math problems to solve. When a small group (9%) started to cheat, what came next surprised us: 24% fought back by blowing the whistle on their peers and alerting humans.
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From tracking hurricanes to optimizing renewable energy grids, @PeterWBattaglia and @fryrsquared explore how WeatherNext 3 is shaping how we model forecasts and prepare in a fast-changing climate. Podcast timecodes: 00:00 Introduction 00:38 Hurricane Melissa 11:50 Why weather forecasting is hard 14:13 Traditional models vs AI models 21:55 Probabilistic forecasting 26:00 WeatherNext 3 33:00 Future outlook 43:44 Hannah's reflections
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We’re launching AlphaGenome Atlas: an AI-powered searchable database mapping the predicted impact of all 9 billion possible single-letter DNA changes. Here’s how it could help researchers better understand our biology 🧵
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Atlas includes the AlphaGenome Variant Impact (AVI) score, which combines AlphaGenome, AlphaMissense and other features to: 1️⃣ Rank mutations from low to high-impact 2️⃣ Reveal how they cause damage - like breaking gene switches or RNA splicing instructions.
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We believe foundational biology tools should be accessible to everyone. AlphaGenome Atlas resources are available to the global scientific community via the Atlas website, our AlphaGenome API, as a skill in Google Antigravity, and coming to @GoogleCloud soon → goo.gle/4heuCvn
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