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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#

In 2014, Elon Musk stood in front of an audience at MIT and told the whole world exactly where AI was going. Everyone missed it. Because he used one word, and that's the only thing the internet remembered: "demon." The headlines called him scared of killer robots. Tech blogs called it hyperbole. People moved on. I went back and watched that moment. It's barely 2 minutes long. You'll never hear the word "AI" the same way again. Here's what I took away. 1. He called it before almost anyone. Someone in the audience asks about AI. His face goes serious. "If I were to guess like what our biggest existential threat is, it's probably that. So we need to be very careful with the artificial intelligence." This was 2014. No ChatGPT. Most people had never heard the word "chatbot." 2. He asked for rules 12 years ago. "I'm increasingly inclined to think that there should be some regulatory oversight, maybe at the national and international level, just to make sure that we don't do something very foolish." National AND international. In 2014. Governments are still arguing about it today. 3. The demon line wasn't a joke. "With artificial intelligence we are summoning the demon." And then the part almost nobody quotes: "In all those stories where there's the guy with the pentagram and the holy water, it's like, yeah, he's sure he can control the demon. Doesn't work out." Read that again. His warning wasn't about the demon. It was about the guy who thinks he can control it. 4. Now here's what got me. In 2014 he said: summoning the demon. In 2018 he told Joe Rogan: "Nobody listened." In 2023 he signed a letter asking AI labs to pause. In 2026 he told The Economist he can't see any way to stop it anymore. His new philosophy? "Let's enjoy the ride." And: "If you can't beat them, join them." Today he's building one of the most powerful AIs on Earth. 12 years later, the man who warned us about the guy with the pentagram is holding one. My takeaway: He wasn't wrong in 2014. He just realized nobody was going to stop it. So he decided to build it himself. Whether that's genius or the exact ending of his own story, I honestly don't know. So now I'm asking you: Was Musk right in 2014? Or did he become the guy in his own warning? Tell me below. I genuinely want to know where people land on this.

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 🧵

Noruega ya tiene más de 2.000 robots láser de IA submarinos disparando piojos de su salmón los hace una empresa llamada Stingray, y ya protegen más de 50 millones de salmones y truchas las 24 horas del día la razón son los piojos de mar, parásitos diminutos que se pegan al salmón y se alimentan de él con tan solo 11 se puede matar a un pez pequeño, y un solo corral puede tener 150.000 salmones la solución habitual es bombear los peces y lanzarles agua caliente o chorros de agua para quitarles los piojos pero el manejo es tan brusco que el informe de salud de peces de Noruega lo señala como la principal causa de muerte en el salmón de granja adulto así que en cambio, Stingray mete un robot dentro del corral que caza piojos de uno en uno, todo el día: > dos cámaras vigilan cada salmón que pasa nadando > la IA revisa dos fotogramas para asegurarse de que realmente es un piojo > entonces un láser verde dispara desde hasta 2 metros de distancia > las escamas del salmón reflejan el rayo, así que el pez sigue nadando bien y el piojo muere ahora vivimos en un mundo donde los láseres de IA hacen control de plagas en tu cena lmao

Introducing GR00T 2: our most advanced, open System One model for robotics. It runs entirely on your robot’s onboard compute, fully untethered, and you own every weight of it. GR00T 2 features: 1. Long-horizon tasks: dexterous manipulation and whole-body control chained over 20+ steps and 5+ minutes, such as performing chemistry lab experiments or assembling model airplanes end to end. 2. X-Adapt: adapting from easy data sources (human wearables and simulation) and deploying zero-shot to diverse real robots. 3. Unified Cognition: native integrations with frontier agents for advanced physical reasoning, robust error recovery, and safety monitoring. It's an open-source buffet! We are releasing not only the model weights and X-Adapt recipes (coming December), but also our agentic framework, simulation engine, annotation engine, hardware design, and even training data (100K hours, that's ~11 yrs of experience), all available today! Everything that moves will be autonomous. Anyone can become a roboticist. Lock in, build with us! Deep dive in thread:

THE FIRST SKILL A ROBOT NEEDS IS LOOKING BACK? IT LOOKED AT HIM FIRST. THE KISS CAME SECOND. Watch its eyes before the kiss. No words, no gesture. It just looks at him, he smiles, and that is the whole introduction. After the kiss the eyes open again and it smiles. The chest is full of gears and nothing in it did that. THE CHEAPEST FEATURE IN ROBOTICS IS ONE EXTRA SECOND OF EYE CONTACT. Hundreds of robots a week are reportedly coming off the Fremont line, roughly ten times last quarter's rate, with a goal of more than a thousand a week by year end. They still can't generalise, and Tesla has acknowledged that much of what you see in demos is scripted or remotely operated. Optimus has reportedly passed 500,000 hours of training data, with a goal to roughly double that by year end. Tesla has reportedly moved people who used to annotate driving data onto Optimus and set up dedicated sites for collecting it. My read: every extra second someone spends standing in front of Optimus is another second of data, and a look is the cheapest way to earn it. What's the first thing you'd want a robot to notice about you?

Fable 5.2 shows substantially improved skills in controlling physical robots, even on tasks it has never explicitly been trained to do. On RoboDojo, a benchmark with a simulated two-arm robot, it outperformed other models and most AI systems built to control robots.

2015, Colbert: “You’re a billionaire trying to do good things. Superhero or supervillain? You have to choose one.” Elon: shows him a robot snake that plugs itself into your car Colbert: “Is that thing going to attack me in my sleep?” Elon, completely deadpan: “For the prototype, at least, I would recommend not dropping anything when you’re near it.” Ten years later he’s built reusable rockets, humanoid robots and the best-selling EV on the planet, and he’s still the only CEO who can deliver a product safety warning and a punchline in the same sentence. Superhero, obviously. Just one with a very dry sense of humor. @elonmusk

Elon calls Teslas robots on four wheels. Here's why that changes everything 👇 "A typical passenger car is about 10 hours of use a week… But if it's autonomous, it could be used 100 hours a week… So that would be a 10x increase in the productivity of the car." — @elonmusk A Tesla already drove itself from Giga Texas to its new owner's home, the first autonomous delivery of its kind. FSD Supervised is now approved in 8 EU countries. 4 days to the 10/10 𝕏 Takeover at Giga Texas. What would your Tesla do with the other 158 hours a week? 🎥 @Tesla