## Short Segments Nvidia's GR00T 2 model is teaching robots delicate skills by watching human videos. Skyways is launching Skyreach, a cargo drone with a 1,300-mile range. We'll also explore what hardware your PC needs to run local AI models. Google warns that an Australian safety bill could block teens from Gmail. Apple Intelligence is now registered for use on iPads and Macs in China. Finally, the EU is suing IBM, Atos, and Leonardo over border system delays. Coming up, we'll dive into Google's new TPU variants designed for secure and long-context AI. Nvidia's GR00T 2 model is revolutionizing how robots learn delicate skills. Nvidia has unveiled GR00T 2, an AI model that helps robots learn delicate hand skills by analyzing 100,000 hours of human video. This model achieved a 95% success rate in tests with just five demonstrations per task. Companies like Foxconn, Siemens, and Nexuni are already testing it. The model's ability to teach robots tasks such as aligning gears and connecting cables marks a significant shift from traditional locomotion-focused training to manipulation tasks. This development could accelerate the integration of robots into industries requiring precision and dexterity, potentially transforming manufacturing and assembly processes. Skyways begins production of Skyreach, a cargo drone with a 1,300-mile range. Austin-based Skyways has started producing Skyreach, an autonomous cargo drone capable of flying over 1,300 miles with a 10-pound payload. The drone, which takes off and lands vertically, is set to begin customer flights in December. This development follows a $37 million contract with the US Air Force. Skyreach's long-range capabilities and vertical takeoff design make it a versatile option for defense and commercial applications, potentially reshaping logistics and supply chain operations by enabling efficient, long-distance cargo transport. What hardware does your PC need to run a local AI model? Running AI models locally on your PC is more accessible than ever, but it depends on your machine's power. A typical PC with 16GB of RAM can handle basic models, but more demanding tasks require more robust hardware. Tools like Ollama or LM Studio allow users to run local chatbots without an internet connection, offering privacy and control over data. However, the speed and complexity of models you can run are limited by your PC's specifications. As AI becomes more integrated into everyday computing, upgrading hardware may become necessary for those looking to leverage advanced AI capabilities locally. Google warns that an Australian safety bill could block teens from Gmail. Google has raised concerns that Australia's proposed Digital Duty of Care bill might force it to block users under 18 from accessing Gmail. The bill requires online companies to demonstrate efforts to remove harmful content, with non-compliance potentially resulting in hefty fines. Google's warning highlights the tension between regulatory efforts to protect minors online and the operational challenges such regulations pose for tech companies. If enacted, the bill could lead to significant changes in how online services are provided to younger users in Australia. Apple Intelligence is now registered for use on iPads and Macs in China. Apple's AI service, Apple Intelligence, has been approved for use on iPads and Macs in China, following registration with Shanghai's cyberspace regulator. This expansion comes after a two-year wait and aligns with China's requirements for AI services to be registered before public use. The move allows Apple to broaden its AI offerings in the Chinese market, potentially enhancing the functionality of its devices with AI-driven features. This registration marks a step forward in Apple's efforts to integrate AI across its product lineup in one of its key markets. The EU sues IBM, Atos, and Leonardo over delays in its border system. The European Union has filed a lawsuit against IBM, Atos, and Leonardo due to delays in developing its new biometric border system. The case, brought by the EU agency eu-LISA, highlights ongoing challenges in implementing the system, which was intended to streamline border management. The delays have reportedly caused issues such as missed flights for passengers. This legal action underscores the complexities and potential pitfalls of large-scale IT projects, particularly those involving multiple international stakeholders and critical infrastructure. ## Feature Story Google introduces two new TPU variants designed for secure and long-context AI applications. Google has unveiled the TPU 8tx and TPU 8i Max, two new versions of its tensor processing units (TPUs) aimed at enhancing AI workloads. The TPU 8tx is optimized for secure and confidential computing, catering to government agencies and regulated industries. Meanwhile, the TPU 8i Max is designed for AI applications requiring large context windows, such as those used in advanced language models. These new TPUs represent a strategic response to the evolving demands of AI infrastructure. As AI models grow more sophisticated, the need for specialized hardware that can handle complex tasks efficiently becomes critical. Google's move to expand its TPU lineup reflects the increasing importance of tailored solutions in the AI hardware market, where competition with companies like Microsoft, Meta, and Nvidia is fierce. The introduction of these TPUs also highlights a broader trend towards agentic computing, where AI systems operate with greater autonomy and context awareness. By addressing specific bottlenecks in AI processing, Google aims to provide its cloud customers with the tools needed to deploy advanced AI solutions effectively. Looking ahead, the impact of these TPUs could be significant, particularly in sectors where data security and processing efficiency are paramount. As AI continues to integrate into various industries, the demand for hardware that can support these advanced capabilities will likely grow. Google's latest TPUs position the company to meet these challenges head-on, potentially setting new standards for AI infrastructure. As the AI landscape evolves, the development and deployment of specialized hardware like Google's TPUs will play a crucial role in shaping the future of AI applications. Observers will be watching closely to see how these innovations influence the competitive dynamics of the AI hardware market and the broader tech industry.