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What we shipped this week @google Monday: Two new 8th-gen TPUs Tuesday: Gemini 4 Carbon - AlphaProof Code verified Signal protocol - Gemini Robotics 2.5 Wednesday: AlphaGenome 2 for disease research - Gemini Decisions API in AI Studio Thursday: Gemini 4 Hydrogen - intelligent eyewear pre-orders Friday: U2 new album (ok not us but exciting!) onwards!

GCSA Insight: Critical Security Vulnerability Discovered in a Leading Robotics Manufacturer’s Product, with System-Level Privilege Compromise Verified on Physical Hardware As artificial intelligence and embodied AI technologies continue to advance, robots are evolving from conventional automated machines into intelligent systems capable of perception, decision-making, and autonomous operation. At the same time, cybersecurity risks are extending beyond software and data into the physical world. The security of robotic systems is no longer solely a matter of protecting data and devices; it can also directly affect operational safety, physical environments, and user safety. Recently, the security research team of the Global Cybersecurity Alliance (GCSA) discovered and verified a critical security vulnerability in a product developed by a leading robotics manufacturer. Through in-depth analysis and multiple rounds of testing on physical hardware, the team successfully breached the device’s system security boundaries and obtained the highest level of operating system privileges in a real-world device environment, demonstrating the vulnerability’s actual impact under specific testing conditions. This research encompassed the entire process, from identifying the security flaw and assessing its risks to validating its impact on physical hardware. The findings also highlight significant challenges facing the underlying security mechanisms of embodied AI systems. The research findings and supporting evidence have been formally submitted to the manufacturer. On November 13, 2026, the manufacturer responded by email, preliminarily confirming the existence of the vulnerability and stating that it had initiated internal remediation efforts and an assessment of the scope of affected products. It is important to emphasize that confirmation of a vulnerability does not mean the associated security risks have been eliminated. GCSA will continue to monitor the manufacturer’s assessment of the affected scope, remediation plans, and subsequent security validation, and will update its research findings as new information becomes available. For intelligent systems capable of physical interaction and movement, timely, effective, and verifiable security remediation is particularly important. In accordance with responsible vulnerability disclosure principles, GCSA is currently withholding sensitive information, including the manufacturer’s identity, specific product details, the vulnerability’s underlying mechanisms, and exploitation methods. GCSA is currently seeking guidance from relevant authorities and regulatory bodies regarding the associated security risks. Taking into account the manufacturer’s remediation progress and a comprehensive assessment of potential security implications, GCSA will carefully determine the appropriate arrangements for further disclosure. Subject to appropriate conditions and upon obtaining the consent of the relevant authorities and regulatory bodies, GCSA will publicly release a detailed security insight report, providing the industry with ongoing updates on the research findings and associated risk assessments. The findings of this research are based on specific testing environments and the evidence obtained to date. They do not imply that other product models or similar robotic systems are affected by the same security issue. This security research and validation on physical hardware represent one of GCSA’s initiatives in the field of embodied AI security. GCSA will continue to advance security research, coordinated vulnerability disclosure, and industry collaboration to promote stronger security response mechanisms across the artificial intelligence sector, enhance product security, and strengthen industry trust. 🔗 Read the full report: · Stay Connected with GCSA Follow GCSA's official social media channels for the latest news, product launches, research developments, and ecosystem updates. GCSA Official Telegram Channel: GCSA Official WeChat Account: #GCSAInsight# #GCSACybersecurity# #GCSASecVibe#

Elon Musk, I decided to bring Jensen Huang onto the team because you simply do not pass up a once-in-a-generation opportunity to recruit the greatest compute architect on Earth. When it comes to building massive AI infrastructure, designing next-generation silicon, and scaling hardcore engineering at extreme velocity, nobody operates on Jensen’s level, and his vision for accelerated computing aligns 100% with what we are building across xAI, Tesla, and SpaceX. Bringing his unmatched expertise in-house to merge with our Dojo supercomputers, Grok clusters, and real-world robotics will compress years of innovation into months—and when legacy boards hesitate on true greatness, I am always going to bet big on the best talent in the world.

Gemini Robotics 2.5：能让机器人打蝴蝶结的VLA（视觉语言动作）模型 Google DeepMind团队利用Gemini 4 Argon模型作为模拟引擎来加速研发，推出了Gemini Robotics 2.5，并将它直接应用在Apptronik的Apollo 2等各类机器人身上。 升级后的机器人能熟练完成给礼物打蝴蝶结、用夹子分发食物等200多种复杂任务，成功率最高提升了100%，速度也提升了二至三成。在奔驰汽车工厂的实际应用测试中，装载该模型的机器人能够精准地分拣和整理汽车零件，成功率高达96%，有效替代了枯燥的体力劳动。新模型的实时避障能力大幅增强，在人群周围工作时的安全性也得到了显著提升。 谷歌在LLM、多模态、世界模型、机器人等各个领域，都还没掉队，除了股票。 官方介绍：

🚨🇺🇸 A simple majority of Nvidia's 11 directors can remove Jensen Huang "with or without cause"... and they are reportedly meeting TONIGHT Reuters says the meeting is under way, three days after the same board said it had confidence in him. Ten of the eleven directors are independent, and he owns about 3.6% of the stock, which is nowhere near enough to stop a vote against him. One longtime tech analyst described what the board is weighing: "Jensen is not replaceable... there is no other person on the management team bench that can step in seamlessly as CEO." With no successor named, speculation has turned to his children, who both started as interns and now hold senior roles. His daughter Madison, 35, leads marketing for Nvidia’s robotics and AI platforms and travels with him to major events, while his son Spencer, 36, manages robotics products. A Huang in charge would signal continuity, but their father said last month either would have to earn the job, and neither is an executive officer, so a temporary chief from outside the family is the likelier first move. Source: Reuters, WSJ / Writer: Daniel

Elon, you might have a once-in-a-generation opportunity here: > Hire Jensen (if NVIDIA fires him). > Put Jensen in charge of Terafab. > Give him the resources to build a world-class semiconductor powerhouse. > Challenge the dominance of TSMC, NVIDIA, and other semiconductor giants. > Accelerate Tesla’s AI, robotics, and autonomous driving ambitions. Imagine Elon and Jensen building the next semiconductor empire together! The most entertaining outcome is the most likely.

Gemini 4 Argon greatly accelerated the development of Gemini Robotics 2.5. It acted as a simulation engine, teaching robotics new skills that are usually dependent on massive amounts of physical data. Gemini Robotics 2.5 is now rolling out to our robotics partners. Learn more.

In testing Gemini Robotics 2.5, we evaluated the model across 200 distinct tasks — such as serving food with tongs, tying a bow on a gift box, and pipetting a liquid. These tasks represent a step toward human-level dexterity by combining a number of skills, including advanced tool use and handling delicate objects with ease. Our evaluations also show significant increases in task precision, robustness, and speed. Compared to previous baselines, Gemini Robotics 2.5 achieves a 30% to 100% higher success rate depending on the type of task, while completing tasks 20% to 30% faster.

Introducing Gemini Robotics 2.5, our most capable vision-language-action (VLA) model to date. 🤖 It increases both the breadth of skills a robot can learn and the speed at which it acquires them — helping robots step out of the lab and into real-world environments. Learn more about Gemini Robotics 2.5, now rolling out to our robotics partners 🧵

TownSquare townRWA AI suite has brought on >$121M townAIROBO credits from AI robotics firms and $49M+ AI energy infra credits from energy storage firms with over $170M from AI credits, townsquare is leading the AI private credit RWA evolution more to come