Google DeepMind

How do we measure progress toward AGI? It takes a village – and a bit of healthy competition. 🛠️ We’re launching a global hackathon with @Kaggle to build new cognitive evaluations for AI. With $200k in prizes up for grabs, help us put our framework to the test. Join the challenge → goo.gle/4uqOVKK

vibe coding in AI Studio just got a major upgrade 🚀 • multiplayer: build real-time games & tools • real services: connect live data • persistent builds: close the tab, it keeps working • pro UI: shadcn, Framer Motion & npm support we can't wait to see what you build!

At @GoogleDeepMind, we believe AI is the ultimate catalyst for science. 🧬 The best example of this has been the AlphaFold database (AFDB) of protein structure predictions which has been used free of cost by more than 3.3 millions researchers across the world! Today, in collaboration with @emblebi, @Nvidia and @SeoulNatlUni, we are expanding the database by adding millions of AI-predicted protein complex structures to the AlphaFold Database. To maximise global health impact, we’ve prioritised proteins that are important for understanding human health and disease, including homodimers from 20 of the most studied organisms, including humans, as well as the @WHO’S bacterial priority pathogens list. Read more here: embl.org/news/science-t…

Watch → goo.gle/4sC4spj Spotify → goo.gle/3MZedPt Apple Podcasts → goo.gle/3NAqUjM Or listen wherever you get your podcasts! 🎧

What does it take to build AI for scientific discovery? 🧠 To celebrate 10 years of AlphaGo, @ThoreG and @Pushmeet joined @fryrsquared on our podcast to discuss how mastering games has paved the way for it to help solve more complex problems. ↓ 00:00 The AlphaGo match 02:15 Why Go? 10:58 Lee Sedol vs AlphaGo 14:58 Move 37 20:55 Move 78 24:38 Reaction from the Go community 30:45 Never before seen footage 32:05 AlphaGo to protein folding 34:00 Matrix multiplication 38:00 AlphaGo and algorithmic discovery 41:40 How to verify new discoveries 47:38 Role of mathematicians 51:43 Would we be here without AlphaGo?

Later this year, we’re also opening The AI Exchange at Platform 37. It will be a dedicated public space for everyone to explore the future of AI through free exhibitions, events and educational programming. Find out more → goo.gle/4umOi4U

As part of our focus on sustainability, it’s been built with low-carbon materials and features a rooftop garden designed with the London Wildlife Trust to support biodiversity. We’ll continue our work there to make breakthroughs on the path to artificial general intelligence.

We’re excited to unveil the name of our new London building: Platform 37. 📍 The name honors both the surrounding area’s transport heritage and "Move 37" – the critical moment where our AI system AlphaGo showed it could find novel solutions humans hadn't considered.

Happy to share new progress in AI for Maths @GoogleDeepMind . In extremal combinatorics, AlphaEvolve has helped establish new lower bounds for FIVE classical Ramsey numbers - a problem so challenging that even Erdős commented on its difficulty. Historically, computationally deriving these bounds required bespoke, human-designed search algorithms. For many of these bounds, the best previous results are at least a decade old. AlphaEvolve changes this by acting as a single meta-algorithm that automatically discovers the search procedures needed to find these new bounds. 📷

Start building with Gemini Embedding 2, our most capable and first fully multimodal embedding model built on the Gemini architecture. Now available in preview via the Gemini API and in Vertex AI.

Ten years after AlphaGo, we’re still building on its foundations to advance AI. The techniques pioneered have helped us prove mathematical statements and are now assisting the scientific community in making new discoveries. Read more from @DemisHassabis ↓ goo.gle/40nljjK

We are thrilled to announce that Google’s Satellite Embedding dataset, powered by @GoogleDeepMind's AlphaEarth Foundations model, has been updated for 2025. This additional year of coverage now unlocks the ability to look back, compare, and detect change across the planet with unprecedented clarity. Learn more here ➡️ goo.gle/3NdIxWn Part of Google's Earth AI, the new data represents the state of the planet throughout 2025, distilling petabytes of multi-sensor data into a 64-dimensional embedding for every 10 meter pixel. What’s new in this update? 🧵👇 - 🌍 2025 Data: The state of the planet throughout 2025 is now available on the Earth Engine Data Catalog and Google Cloud Storage. - 🔬 Unprecedented Change Detection: Because these embeddings capture subtle spectral, spatial and temporal signatures, they make it easy to spot significant year-over-year changes without the heavy lifting of raw image processing. - 💚 Long-term Commitment: We are formalizing our commitment to the ongoing production of these annual layers to support your operational workflows. Since we first launched the Satellite Embedding dataset, we’ve been inspired by how our community is putting this data to work. Applications are ranging from ecosystem mapping and agricultural crop-typing to carbon stock prediction. We can’t wait to see what you do next. #EarthEngine #GeoAI #DeepMind

Gemini 3.1 Flash-Lite is rolling out in preview today. Developers can start building via the Gemini API in @GoogleAIStudio. Find out more → goo.gle/3OO11NK

3.1 Flash-Lite outperforms 2.5 Flash with faster performance at a lower price. New ‘thinking levels’ let you dial in reasoning to adapt for different tasks, while still being able to handle complex workloads - like generating UI and dashboards or creating simulations.

Gemini 3.1 Flash-Lite has landed. It’s our most cost-efficient Gemini 3 series model yet, built for intelligence at scale. Here’s what’s new 🧵

It’s in the details. 💎 Upgraded vibrant lighting, richer textures and sharper elements take your ideas to the next level. Here’s how you can try Nano Banana 2 → goo.gle/4rCqmbX

Modify your creation to exact specs. ✂️ It gives outputs in a range of aspect ratios and can upscale content from 521px to both 2K and 4K - meaning you have full creative control over your designs.

Nano Banana 2 makes sophisticated visual creation faster, cheaper, and accessible to everyone. 🍌 Tap on each photo to see the details 👀

Nano Banana 2 is rolling out to everyone, from casual creators, to developers, and enterprises. Find it in @GeminiApp, @Google Search, AI Studio and more. → goo.gle/3MQQ11x

Nano Banana 2 makes it easy to build out complex visuals - translating instructions into data-rich infographics or educational diagrams. 🌐 It even pulls from the Gemini model’s world knowledge base and uses real-time information from web search to render generations more accurately.

We’re launching Nano Banana 2, built on the latest Gemini Flash model. 🍌 It’s state-of-the-art for creating and editing images, combining Pro-level capabilities with lightning-fast speed. 🧵