Google DeepMind

Instead of assuming AI will always do what we intend, we ask: what if it doesn't? That’s why we’ve developed our AI Control Roadmap: a framework for building and managing the advanced AI we deploy within Google. 🧵

There is a narrow window to embed structural security protocols before multi-agent systems scale globally. We believe this multilayered approach to agent security should be a collaborative priority for AI labs, government, and academia. See the framework → goo.gle/4vis97Q

Our data shows that the vast majority of issues don't stem from bad intent. They usually happen because an agent misinterprets a command or gets overly enthusiastic to achieve a goal. Understanding these nuances is critical for refining safety and security protocols. ⬇️

Instead of assuming AI will always do what we intend, we ask: what if it doesn't? That’s why we’ve developed our AI Control Roadmap: a framework for building and managing the advanced AI we deploy within Google. 🧵

We’re working with @SciTechgovuk, @mhclg and @i_dot_ai on a new AI housing application planning prototype. 🏡 By cutting down the time spent on repetitive tasks, it could help planning officers focus their attention on complex projects and reduce processing times by up to 50%. → goo.gle/4xzqMDs

🌍 Project Genie access is expanding even more! Starting today, Google AI Ultra 5X subscribers (our latest tier!) globally can access Project Genie. Try it out here! labs.google/projectgenie

Our Robotics Accelerator has launched with 15 startups helping shape the future of physical AI in Europe. 🤖 This three-month program will connect them with access to our AI stack, Gemini Robotics models and hands-on support from our teams. Meet the companies → goo.gle/4oeEk2K

Why does this matter beyond sports? A live match is a masterclass in partial observability and multimodal data. Solving these continuous spatial problems could translate to leaps in robotics, computer games, and more. Find out more about TacticAI → goo.gle/4uv87Gc

To map the pitch, TacticAI uses graph neural networks - treating all 22 players as individual nodes and their physical interactions as connections. This allows the club's data science department to virtually drag and drop players to test different defensive setups in real time.

We’re teaming up @Palmeiras, the first football club to meaningfully build upon TacticAI: our AI system that can help simulate field scenarios and predict open play dynamics up to 8 seconds in advance. ⚽

When millions of AI agents interact with each other, new collective behaviors can emerge. 🌐 Together with @schmidtsciences, @coop_ai, @ARIA_research and supported by @GoogleOrg, we’re launching a $10M research fund to help understand how AI systems behave as a group. → goo.gle/3Si6rCl

We evaluated AI’s impact by looking beyond test scores to behavioral shifts. Over eight weeks, results suggest students were using AI to understand concepts, not just find answers – with Gemini queries about how to tackle problems rising from 68% to 90%. Find out more → goo.gle/441RTt8

In Sierra Leone, a surging student population is outpacing available teachers. Our latest research explores how AI can act as a partner to support educators in these environments – amplifying their reach without replacing their essential expertise and skills. 🧵

Find out more → goo.gle/4vG0xcI

DiffusionGemma is our new experimental open model with up to 4x faster output on dedicated GPUs. Instead of predicting word-by-word, it generates entire blocks of text simultaneously. This lets the model self-correct and format complex markdown in real time.

Try it in the @Google Translate app or build in preview via the API in @GoogleAIStudio. Find out more ↓ goo.gle/4aEtspk

3.5 Live Translate can convert speech into over 70 languages and processes it as it’s streamed - while keeping tone, pace and pitch intact - allowing for more natural conversations.

Say hello, hola, 你好 to Gemini 3.5 Live Translate: our latest audio model built for fast, cross-language communication. 🌐

Meet Gemma 4 12B! A unified, encoder-free multimodal model designed to bring high-performance intelligence directly to your laptop, and released under an Apache 2.0 license. Bridging the gap between edge efficiency and advanced reasoning. Here is what’s new with Gemma 4 12B: 👇

We’re excited to be making Co-Scientist available to individual researchers through Hypothesis Generation as part of Gemini for Science: a collection of experiments and tools exploring the future of AI-powered scientific discovery. Find out more → goo.gle/4vnFsn4

Over the past year, we’ve collaborated with global scientific experts to evaluate the system on complex problems. It assisted by: identifying new targets for liver fibrosis, uncovering fresh approaches to tackling Amyotrophic lateral sclerosis (ALS), and digested decades of literature to propose novel genetic leads for reversing aging.

We believe AI can be a dedicated research partner to help discover the next breakthrough. Enter Co-Scientist: our latest Gemini-based multi-agent system that can generate, debate and evolve novel hypotheses for complex scientific problems 🧵