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 ↓

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.

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 →

🧵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.

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 🧵

Do LLMs passively report confidence—or do they use it to guide behaviour? Our @NatMachIntell paper provides causal evidence for the latter: boosting/suppressing confidence changes whether models answer or abstain. Open access: @GoogleDeepMind @Princeton

Create your best tracks yet with Lyria 3.5 in Gemini! 🎵 Our most advanced music generation model brings richer arrangements, expressive vocals, and higher fidelity. - Select a genre & choose between vocal or instrumental - Explore new templates - Generate short or longer tracks

Every once in a while, science reaches a horizon that changes everything. We are standing at that exact threshold with AI and biology today. The promise of understanding life at its most fundamental level to cure disease and safeguard our world is what inspires our team @GoogleDeepMind every day. Yet, the greater the capability, the greater the duty to ensure it is developed safely. Today, I'm sharing my thoughts on how we can responsibly accelerate AI biology to unlock its full potential:

Excited to share WeatherNext 3 from @GoogleDeepMind and @GoogleResearch! High-res temperature and precipitation forecasting using the latest satellite observations 🛰️ It's also the best global weather model according to Brightband's live leaderboard!

WeatherNext 3 is a major breakthrough in how we forecast global weather. ⛅ Developed with @GoogleResearch, the model learns directly from real-world, real-time observations to give more localized highly accurate predictions faster. 🧵

Gemini 3.8 Flash Cyber gives defenders a decisive advantage with expert vulnerability detection and autonomous patching. Here’s how it helps teams stay ahead of emerging threats 🧵

Two new Gemini models are here to help scale your AI agents and secure code: 🔘 3.8 Flash: our most intelligent model yet with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning. 🔘 3.8 Flash Cyber: our most capable cybersecurity model with frontier-level vulnerability detection and automated patching.

We’re rolling out Gemini Omni 1.1 Flash to make generative video highly controllable, faster to iterate on, and more polished for production-grade use. Here’s how you can try it in @FlowbyGoogle and more →

Gemini Omni 1.1 Flash is our newest multimodal model for video generation and editing. It delivers a new suite of creative capabilities and controls for developers 🎥 With this update you can: 🎬 Extend your scenes 🎯 Specify starting and ending frames of a shot ➕ Add video input references ✨ Upscale your favorite takes up to 4K ⚡ Test ideas quickly in 360p See these in action 🧵

In an industry first, we’re piloting double-blind evaluations for frontier AI. By creating a secure environment where neither test prompts nor model weights are revealed, we can ensure external safety and performance evaluations of our models remain private, robust, and trustworthy. →

Games have been an important testbed for our AI research for over 15 years. 🎮 From mastering Atari to reaching Grandmaster in StarCraft II, they have driven some of our biggest AI breakthroughs. Our work with SIMA taught agents how to understand 3D worlds, but learning to navigate real human dynamics takes a living, persistent universe. Through our research partnership with @FenrisCreations, we’re exploring how to tackle open challenges in AI: 🔵 Continual learning to acquire new skills without forgetting past knowledge. 🔵 Deep memory systems that store and retrieve information far beyond today’s context windows. 🔵 Long-horizon planning over weeks, months, or years. 🔵 Multi-agent dynamics spanning cooperation, negotiation, economics, and emergent behaviors. Our long-term goal is to use AI to discover entirely new gameplay experiences in partnership with game developers – making games more accessible and personalized – while applying what we've learned to problems in the real world and scientific discovery. Find out more →

Matrix multiplication is the basic computational operation that powers modern computing (including AI). Yet, the theoretical fastest speed at which computers can multiply matrices (omega ω) is still unknown and has been a longstanding challenge for complexity theory and computer science. Today, we announce a new record for omega (ω<2.371177). This is the result of a great team effort between @GoogleDeepMind, our academic collaborators, and our Gemini-powered coding agent AlphaEvolve! 🧮