@GoogleDeepMind
The engine room of @Google. Building AI safely and responsibly to solve the world’s most complex problems. Join us: https://t.co/jUHQA27iBL
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 → t.co/nV8brVS9xR
From weather forecasting to robotics, intelligent decision-making relies on understanding the unknown. Our VP Research @ZoubinGhahrama1 explores with @fryrsquared why teaching systems self-doubt and probability can lead to safer, more reliable real-world decision-making. 🧠 Watch the episode ↓ Timecodes: 00:00 Introduction 01:06 The role of uncertainty 07:45 Correctness vs confidence 09:40 Historical perspectives 16:10 Bayesian thinking in AI 26:30 Uncertainty in the real world 36:42 Future research and AGI
Watch → goo.gle/4cZu4qH Spotify → goo.gle/4cOy1hZ Apple Podcasts → goo.gle/3UmoBE5 Or listen wherever you get your podcasts! 🎧
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. → t.co/ocwQ2iWFDz
Gemini 3.5 Transcribe is our latest speech-to-text model for precise and intelligent transcriptions. 🧵
Here’s what’s new: 🔵 It’s better at understanding complex phone numbers, postal codes, and order IDs – even in noisy environments. 🔵 It can remove filler words and auto-format your text. 🔵 It recognizes custom vocabulary so the model knows unique names and product titles. 🔵 It automatically detects and transcribes speech in 85+ languages. Try it now in the @Geminiapp on macOS and Gboard on @Android. Start building in @GoogleAIStudio and @Antigravity → t.co/lNlILGYFVy
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 → t.co/fAbYdukA5A
Gemini 3.7 Flash is here. It’s stronger for coding, knowledge work, and web development. 🧵
🔵 It shows strong gains over 3.6 Flash in key coding tasks like debugging and issue resolution. 🔵 It’s better at designing more functional web layouts and apps using fewer prompts. 🔵 It delivers improved reasoning and accuracy when completing real-world business workflows. Try it now in @Antigravity, with API access in @GoogleAIStudio and @AndroidStudio. Google AI Pro and Ultra subscribers can use 3.7 Flash in Gemini Spark in the @GeminiApp. Find out more → t.co/talohYpXqK
SL2T is our breakthrough sign language-to-text model powering new features for Deaf and hard of hearing users on @Android. Starting with American Sign Language-to-English on Pixel 11, people can sign directly into Gboard and Live Transcribe instead of typing.
For years, building AI for sign language has been slow due to complex technical challenges and misconceptions about how the languages work. We addressed this by training a model to translate simultaneous movements of the hands, body, and face directly into text, using huge amounts of data.
We sat down with Apollo 2 to talk about what it's really like running on Gemini Robotics 2. 🤖
FInd out more → goo.gle/3Tvi61l
FInd out more → goo.gle/3Tvi61l
Predicting cyclones accurately can help save lives - and every hour of lead time counts. Published in @Nature, our AI model WeatherNext achieves state-of-the-art accuracy in forecasting a storm’s track and intensity, giving us a critical extra 24 hours to prepare on average. 🧵
WeatherNext delivers a decade's worth of forecasting progress in a single leap. 📈 On average, 3-day predictions now match the quality that prior models could only provide 2 days out.
This is how Gemini Robotics 2 helps @Apptronik’s Apollo 2 use whole body intelligence to pack for a sports game ↓
To be truly useful, a robot needs the dexterity that humans take for granted. But asking AI models to coordinate these motions is incredibly complicated. In this demo, we pushed Apollo 2 to master fine motor skills and complete tricky kitchen chores ↓
One brain. For any robot. 🤖 We’re launching Gemini Robotics 2: our next-generation physical AI bringing full body intelligence to humanoids, advanced dexterity, multi-robot teamwork and more.
Three new models power this breakthrough: 1️⃣ Gemini Robotics 2: A vision-language-action model controlling humanoids from feet to fingertips 2️⃣ Gemini Robotics ER 2: Capable of real-world video understanding and complex, multi-step planning 3️⃣ On-Device 2: Runs locally and adapts to new robot bodies in just a few hours
Gemini 3.5 Flash Cyber is our specialized, lightweight model built to help security teams spot and patch vulnerabilities before they can be exploited. 🧵
By combining speed and efficiency, 3.5 Flash Cyber lets defense specialists check significantly more code paths. In testing on our own codebases – including @googlechrome and @Android – it consistently caught complex, unique vulnerabilities that standard models missed.
We’re expanding our work with the US Dept. of @ENERGY on the Genesis Mission – an initiative to double the pace of scientific discovery within a decade. 🧪 By committing $40M in AI tokens and @GoogleCloud credits, more lab researchers will gain access to Gemini and other AI models. → t.co/FBA5iCtTED
Gemini 3.5 Flash-Lite is our fast, cost-effective model for scaling repetitive use cases like sorting tickets and extracting data. Watch how it performs against 3.5 Flash on a series of high volume tasks ↓
It even outperforms 3 Flash on many agentic and coding benchmarks. 3.5 Flash-Lite is rolling out in the @GeminiApp and @Google Search, with API access in @GoogleAIStudio and @AndroidStudio. Find out more → goo.gle/4yyNkoi
Gemini 3.6 Flash builds directly on feedback from 3.5 Flash. Watch how it compares on quality and token usage ↓
It’s much better at writing production-ready code faster without getting stuck in loops. Plus, it excels at multimodal tasks like analyzing charts, understanding documents, and report drafting. 3.6 Flash is rolling out in the @GeminiApp and developers can start building in @Antigravity, with API access in @GoogleAIStudio and @AndroidStudio. Find out more → t.co/FBrcCm2oLM
We’re rolling out three new models to make AI agents faster, smarter, and cheaper at scale: 🔵 Gemini 3.6 Flash: It uses fewer tokens than 3.5 Flash to deliver higher quality work at the exact same cost. 🔵 Gemini 3.5 Flash-Lite: A fast, cost-effective option for everyday tasks like processing documents and agentic search. 🔵 Gemini 3.5 Flash Cyber: A cybersecurity model built to find and patch critical software vulnerabilities.
Gemini 3.6 Flash and 3.5 Flash-Lite are rolling out now in the @GeminiApp. Developers can start building via the API in @GoogleAIStudio and @AndroidStudio. Gemini 3.5 Flash Cyber will be exclusively available via CodeMender soon as part of a limited-access pilot program. Find out more → t.co/FBrcCm2oLM
The biosecurity landscape is rapidly evolving. To stay ahead of future outbreaks, we’re partnering with @IsomorphicLabs to outline our approach to bioresilience. Here’s how we’re deploying frontier AI to build proactive defenses for global health → goo.gle/4wKHXk2
From proposing hypotheses to designing experiments, AI agents are starting to reshape scientific discovery. But the hardest part is testing these ideas in the real world. Our essay explores the growing validation bottleneck and outlines four priorities for policymakers and funders. → t.co/biz1QlHNtm
Here’s how we used the Predicting the Past Skill in Google @Antigravity to track down a Roman ring thief, map an ancient cult across Europe, and reconstruct the networks of people visiting a Greek oracle. 🧵
🔍 The ring thief of Aquae Sulis When given an 1,800 year old curse tablet, the Skill used Aeneas - our generative model for restoring, dating and placing ancient texts - to locate it in time and space. It also generated an explanation of why it made that prediction, acting as a piece of epigraphic commentary to the expert.
A model’s chain of thought acts like a scratch pad, offering a window into its reasoning. 📝 On the latest episode of our podcast, host @fryrsquared sits down with @NeelNanda5 to explore interpretability – the science of reverse engineering how neural networks learn and think. Timecodes: 00:00 Introduction 02:41 Motivation for interpretability research 04:01 Mechanistic interpretability 08:14 Chain of thought monitoring 18:14 Interpretability techniques 35:00 Auditing models for safety 48:53 What comes next for interpretability
Watch → goo.gle/4pxlGEh Spotify → goo.gle/4f89R2a Apple Podcasts → goo.gle/4fpWThL Or listen wherever you get your podcasts! 🎧
🏛️ We’re unveiling a new way to converse with the ancient world. By grounding Gemini directly in our expert models Aeneas and Ithaca, our Predicting the Past Skill in Google @antigravity lets historians study Greek and Latin texts using plain English. 🧵
Using AI for history analysis has 3 core challenges: 🔹 Creating custom analysis and visuals for every inscription. 🔹 Cross-source mapping to find large-scale patterns. 🔹 Utilizing advanced AI tools with no coding skills. Our Antigravity skill shifts all these complex workflows into plain English.
🏛️ We’re unveiling a new way to converse with the ancient world. By grounding Gemini directly in our expert models Aeneas and Ithaca, our Predicting the Past Skill in @GoogleAntigravity lets historians study Greek and Latin texts using plain English. 🧵
Using AI for history analysis has 3 core challenges: 🔹 Creating custom analysis and visuals for every inscription. 🔹 Cross-source mapping to find large-scale patterns. 🔹 Utilizing advanced AI tools with no coding skills. Our Antigravity skill shifts all these complex workflows into plain English.
As @Apptronik expands their Robot Park facility, our research partnership means real-world data collected by the latest Apollo 2 humanoid platform will help train and advance Gemini Robotics. 🤖 Find out more → goo.gle/4vOPwpO
We’re shipping 2 major releases: 🔘 Nano Banana 2 Lite: our fastest and cheapest Gemini Image model 🔘 Gemini Omni Flash: now available via the Gemini API and in @GoogleAIStudio to help developers generate and edit high-quality videos.
Nano Banana 2 Lite delivers text-to-image outputs in just 4 seconds. It’s designed for quicker ideation and workflows where speed and cost are the primary roadblocks.
Gemini 3.5 Flash now supports native computer use. This built-in tool lets developers build custom agents that can see and take action across browser, mobile, and desktop interfaces. Find out more → goo.gle/4f4sNQA
What happens when millions of AI agents start negotiating, transacting, and delegating to one another? @weballergy joined our podcast with @fryrsquared to explore the rise of agentic economies – and how we can diversify agent decision-making to avoid AI groupthink. Timecodes: 00:00 Intro 1:07 Defining AI agents 4:44 Agentic exploration in science and research 15:46 Delegation between agents 22:46 Agentic security and traps 29:31 Building an agentic economy 33:22 Cognitive monoculture 36:29 Distributed intelligence
Watch → goo.gle/4w7S3LM Spotify → goo.gle/4eFgIA9 Apple Podcasts → goo.gle/3Sn4ZyM Or listen wherever you get your podcasts! 🎧
Google DeepMind 🤝 @A24 We’re launching a research partnership with A24 to ensure the tools of the future are shaped by the creators who use them. Find out more → goo.gle/3QwvgKq
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. 🧵
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. ⬇️
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%. → t.co/C2AdQOHPiX
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 →
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. ⚽
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.
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. →
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. 🧵
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 →
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.
Find out more → goo.gle/4vG0xcI
Say hello, hola, 你好 to Gemini 3.5 Live Translate: our latest audio model built for fast, cross-language communication. 🌐
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.
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 🧵
Scientific discovery is a cycle of ideation, critique, and refinement. Co-Scientist mirrors this using a coalition of specialized Gemini-based agents leveraging its reasoning, multimodal, long-context and tool-use capabilities.
Our Gemini for Science tools could help scientists unlock their next breakthrough. 🧬
SynthID has already watermarked over 100 billion pieces of content, but transparency is a team sport. That’s why we’re partnering with @OpenAI, @ElevenLabs and Kakao to add SynthID watermarking to their models – accelerating the industry-wide momentum we started with @NVIDIA.
To date, SynthID verification in Gemini has been used 50+ million times to see if media was AI-generated. We’re now scaling this further by expanding content authentication directly into more everyday tools: Search and @GoogleChrome. So you can just ask: "Is this made with AI?"
We’re expanding our partnership with Singapore to help safely deploy AI at scale. 🇸🇬 Together with country experts, our new programs will focus on accelerating scientific discovery, advancing pandemic preparedness, and improving healthcare. Find out more →
