Google DeepMind

Introducing Gemini 2.0 ✨ It has better performance and new capabilities to help build exciting agentic experiences. We're first releasing an experimental version of 2.0 Flash ⚡ which can: 🔘 natively create images with text 🔘 controllably generate speech 🔘 call tools like Google Search and code execution These are being used to make research prototypes and experiments that could enable you get more things done in less time - including: 🔵 Project Astra, which explores future capabilities of a universal AI assistant 🔵 Project Mariner, which shows what’s possible for human-agent interaction, starting with your browser 🔵 Jules, an experimental AI-powered coding agent for developers As we develop these technologies, we recognize the responsibility it entails - and the questions AI agents open up for safety and security. That’s why we’re conducting research on multiple prototypes, working with trusted testers and external experts and performing extensive risk assessments. Find out more about Gemini 2.0 → https://goo.gle/gemini-2

Project Astra helped Robbie identify his mystery house plant 🌿 summarize his emails 📧 and even suggest a delicious recipe based on ingredients it could see. #EarlyAccess ↓

Project Astra helped Ash discover new recipes 🥒 gave her personalized fashion advice 👚 and translated messages from Chinese whilst retaining their original meaning 🇨🇳 Watch now ↓ #EarlyAccess

We’re building AI agents to help you navigate the virtual world of video games. 🎮 With Gemini 2.0’s capabilities, they can watch what’s happening on screen in real time, and offer up suggestions for your next move. See it in action ↓

We’re excited to introduce Project Mariner: an early research prototype built with Gemini 2.0 that explores the future of human-agent interaction, starting with your browser. 🌐 It’s able to understand and reason across information then uses it via an experimental Chrome extension to complete tasks for you. See it in action ↓

We explored London with a little help from Project Astra. 🇬🇧 With Gemini 2.0, our research prototype can have more natural conversations, comes with improved memory and can use Google tools - making it more useful for everyday life. 🤝

If you’re at #NeurIPS2024 this year, come say hi at our booth 👋 We’re hosting demos of our weather forecasting model GenCast, our AI tools for music creation, protein structure function prediction - and much more throughout the conference. Check out our schedule → https://goo.gle/49ubBQ8

Our CEO Demis Hassabis and Research Director John Jumper will receive The Nobel Prize diplomas and medals for their work on protein structure prediction with #AlphaFold later today 🏅 Watch the ceremony, starting 🔜 at 3pm GMT → https://goo.gle/4fjmztm

We’re thrilled to see our Staff Research Scientist Rémi Lam recognized in Nature’s 10 for his work on highly accurate AI weather forecasting. 👏 Find out more about Rémi’s work ↓ https://goo.gle/3OMERrR

"That got me hooked on computers and AI for the rest of my life." 2024 chemistry laureate Demis Hassabis describes how playing chess competitively at the age of four led him to becoming an AI programmer. From there he went on to solve big problems in biology, developing an AI model to predict the structure of virtually all known proteins. Watch his full Nobel Prize lecture: https://bit.ly/4f77WJi