🎯 A major milestone on the road to embodied intelligence. This week, @GoogleDeepMind's Gemini Robotics VLA reaches an important milestone in our joint mission to bring AGI into the physical world. By introducing agentic capabilities - the ability to reason, plan, actively use tools, and generalize - we’re moving beyond reactive models and into a new era of robotic autonomy. We’re proud to be collaborating on Gemini Robotics 1.5 with Google as we gear up to deploy Gemini-powered Apollo humanoid robots in additional customer facilities. It’s a critical step in transforming a powerful model into a field-ready system that performs with consistency, reliability, and purpose. Read the blog: #apptronik# #humanoid# #humanoidrobot# #robotics# #google# #deepmind# #geminirobotics#

It’s been a busy couple of weeks! ICYMI, here’s the recap ⬇️ — Gemini Robotics 2 from @GoogleDeepmind brings whole-body intelligence to robots — Gemini 3.5 Flash-Lite is our fastest, most cost-effective model optimized for high-speed agentic workflows — Gemini 3.6 Flash delivers faster, more accurate performance across tasks while using significantly fewer tokens — Gemini 3.5 Flash Cyber is our new, cost-effective model optimized for finding and fixing software vulnerabilities at scale, available exclusively to governments and trusted partners — Nano Banana 2 in @GoogleEarth lets you reimagine places and generate custom images using satellite, aerial, and 3D imagery — Lyria 3.5 is the newest music model from Google Deepmind, now powering @googleflowmusic — @Gemini_Notebook (formerly NotebookLM) launched Collections, a new way to organize your notebooks

For decades, we’ve dreamed of robots that can seamlessly step into our world and lend a hand. Today, we take a major stride toward making that dream a reality: Introducing Gemini Robotics 2 from @GoogleDeepMind, the intelligence layer powering the next generation of truly adaptable robots. This major advance unlocks intelligent whole-body control, advanced dexterity, and even multi-robot collaboration 🤯. Ok but... how does a robot actually "think"? Real-world tasks take time and planning. To manage that complexity, our new embodied reasoning model, Gemini Robotics ER 2, acts as the robot’s high-level brain, enhancing the robot’s capabilities to: — Observe the environment — Reason about the actions needed to complete the task — Coordinate with the vision-language-action model to carry out actions — Track progress until the job is done This setup allows robots to execute complex multi-step workflows, self-correct if a step fails, and adapt to completely novel situations. Learn more about Gemini Robotics ER 2 (and our two other brand new models) here:

How can we map deep research ideas into practical robotics? Join Krzysztof Choromanski today at 11:00am at the Google booth (#B206#) to explore Gemini Robotics models, 3D Transformers, and object detection techniques. #ICML2026#

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 →

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 →

From record-breaking open-source releases to escalating policy scrutiny, the last two weeks prove agentic AI is rapidly maturing into a production reality. Here's your biweekly recap of everything that happened in the space, in the latest edition of AI Agents Pulse: 1️⃣ Anthropic is reportedly preparing for an initial public offering as early as October, with bankers beginning to schedule meetings between executives and prospective investors. 2️⃣ Beijing-based Moonshot AI released Kimi K3, a 2.8-trillion-parameter model claimed to be the world's largest open-source AI model, rivaling top proprietary systems from OpenAI and Anthropic. 3️⃣ Employees from major AI labs including OpenAI, Anthropic, Google, and Meta signed a statement urging the U.S. government to support international efforts to pace the development of automated AI research. 4️⃣ Nvidia is reportedly discussing a $250 billion backstop to help finance a 10-gigawatt data center campus for OpenAI in Ohio, raising concerns about circular financing in the AI industry. 5️⃣ Apple overtook Nvidia to become the world's most valuable company as investors shifted focus toward infrastructure and memory chips amid concerns over high AI buildout costs. 6️⃣ OpenAI reportedly flagged GPT-5 as high-risk for assisting in the creation of biological hazards, though the company later downgraded this risk rating. 7️⃣ U.S. Treasury Secretary Scott Bessent stated the administration may sanction Chinese AI models if they are found to be 'distilled' from proprietary American technology. 8️⃣ Thinking Machines Lab, founded by former OpenAI employees, released Inkling, a 975-billion-parameter open-weight model capable of advanced reasoning and processing multimodal inputs. 9️⃣ Google DeepMind launched Gemini Robotics ER 2, an embodied reasoning model that lets robots understand the physical world, plan multi-step tasks, and hand off motor execution to lower-level vision-language-action models. 🔟 Industry leaders formed the Open Secure AI Alliance, which will work to remediate and disclose vulnerabilities using open technologies, building on the Linux Foundation's Akrites initiative and OpenSSF community work.