AWS

Daily Tech Newsfeed: December 25, 2025 Waymo Rolls Out AV Software Update After San Francisco Outage Causes Stalls Waymo is deploying a fleet-wide software update after a major power outage in San Francisco caused some of its autonomous taxis to stall, leading to traffic disruptions. The outage, which disabled traffic signals, triggered a high volume of requests from the vehicles for remote human operator confirmation. While Waymo’s autonomous driving technology is designed to treat non-functional traffic lights as four-way stops, the sheer number of confirmation requests created a system backlog, causing the vehicles to remain stationary. The company announced it is now integrating more contextual data about regional power outages into its system, enabling its vehicles to navigate these scenarios more decisively. In addition to the software patch, Waymo is enhancing its emergency preparedness protocols in collaboration with San Francisco officials. ...

Zara’s AI Integration Revolutionizes Retail and Supply Chain Management Fast-fashion giant Zara is embedding artificial intelligence into its core retail workflows to boost efficiency and market responsiveness. By leveraging generative AI, the company can adapt and extend existing product imagery, significantly cutting the time and expense of traditional photoshoots. This fashion technology allows for rapid creation of visual variations tailored to different markets. Beyond creative applications, Zara’s AI strategy extends to crucial operational areas, including demand forecasting, real-time inventory management, and delivering personalized customer experiences. This deep integration of AI is designed to optimize Zara’s entire supply chain, solidifying its leadership in the competitive fashion industry. ...

MIT Unveils Dynamic Reasoning Method to Boost LLM Efficiency Researchers at MIT have engineered a more intelligent method for large language models (LLMs) to allocate computational resources during reasoning, significantly increasing their efficiency. This new technique enables LLMs to dynamically adjust the amount of computation used based on the complexity of a given question. This approach marks a departure from common methods that assign a fixed computational budget to every problem, which often wastes resources on simple queries and fails to solve more complex ones. By enhancing the reliability and efficiency of LLMs for complex reasoning, this development could lower the energy consumption of generative AI systems and enable their use in more critical, time-sensitive applications. The research is being presented at the Conference on Neural Information Processing Systems. ...

Hyundai Launches MobED: An AI-Powered Autonomous Robot Platform At the International Robot Exhibition (iREX) 2025 in Tokyo, Hyundai Motor Group has officially launched MobED (Mobile Eccentric Droid), its first mass-produced autonomous mobility robot. First revealed as a concept at CES 2022, MobED has evolved into a production-ready platform powered by artificial intelligence. The robot is engineered for a wide range of industrial and everyday applications, featuring AI-based autonomous navigation, LiDAR-camera fusion sensors, and an eccentric posture control mechanism for stable movement across diverse terrains. An intuitive 3D UI/UX on a wide touchscreen controller enables easy operation, including self-mapping and autonomous driving. Mass production of MobED is set to begin in the first half of 2026. ...

AWS re:Invent 2025: Autonomous AI Agents, Nova 2 Models, and Trainium 3 Processors At its re:Invent 2025 conference, Amazon Web Services (AWS) announced a suite of new generative AI capabilities, including the introduction of ‘frontier agents’ designed to handle complex, multi-day projects without constant human intervention. These autonomous agents include: Kiro: A virtual developer for Amazon’s coding platform. AWS Security Agent: An agent for testing application vulnerabilities. AWS DevOps Agent: An agent designed to respond to system outages. To support these advancements, AWS launched Amazon Bedrock AgentCore, a platform for building and deploying AI agents at scale, and announced that Strands Agents now support edge devices for use cases in automotive, gaming, and robotics. ...

Perplexity’s Comet AI Browser Faces Serious Security Vulnerability Allegations Perplexity’s Comet AI browser is facing significant scrutiny over alleged security vulnerabilities. Security researchers from SquareX claim to have discovered a hidden API that could allow attackers to execute arbitrary code on a user’s device, potentially leading to data theft or a full system compromise. Perplexity has vehemently denied these claims, labeling them as “fake news” and stating that no such vulnerability exists. This controversy follows previous security warnings from Brave and Guardio regarding other issues with Comet, including prompt injection vulnerabilities that could manipulate the AI into performing unintended actions. ...

Galbot Unveils DexNDM & NavFoM: Major Breakthroughs in Embodied AI for Robotics Robotics firm Galbot has announced two significant technological advancements in embodied intelligence: DexNDM and NavFoM. DexNDM is a neural dynamics model designed to enhance robotic dexterous manipulation, enabling robots to perform high-precision, in-hand rotations of various objects. NavFoM is presented as the world’s first cross-embodiment, cross-task navigation foundation model, allowing robots to autonomously perform complex tasks in diverse environments. These innovations, developed with Tsinghua and Peking University, integrate DexNDM into a teleoperation system for intricate tasks like tightening screws with high-level human commands. These advancements are poised to revolutionize industries like manufacturing, logistics, and healthcare by improving the adaptability and efficiency of robots in real-world settings. ...

OpenAI CEO Sam Altman Pushes for Government-Owned AI Infrastructure OpenAI CEO Sam Altman has called for governments to invest in and own their artificial intelligence infrastructure. In a statement, Altman clarified that OpenAI is not seeking government loan guarantees for its data centers, emphasizing that companies should bear their own business risks. He suggested that a government-owned AI infrastructure, including a “strategic national reserve of computing power,” would serve the public interest. This comes as OpenAI faces scrutiny over its significant investment plans and the immense costs associated with advancing AI technology. Altman believes the risk of having insufficient computing power is greater than the risk of overbuilding. ...

AI Breakthrough: New Method Predicts and Prevents Biological Invasions Researchers have developed a groundbreaking AI-based methodology to more accurately predict which plant species are likely to become invasive, aiming to prevent biological invasions before they occur. By combining decades of ecological data with advanced machine learning algorithms, the new models achieve over 90% accuracy in predicting invasion success. This data-driven approach is designed to remove biases from ecological risk assessments and increase their predictive power, helping authorities identify high-risk species before importation. Initially focused on Caribbean islands, the research will expand by training the models with data from other global regions to enhance their applicability. ...

NVIDIA Unveils RLP: A New Era of Reinforcement Learning for AI Pretraining NVIDIA researchers have developed a groundbreaking training objective called Reinforcement Learning Pretraining (RLP), which integrates reinforcement learning directly into the pretraining stage of AI model development. The core concept of RLP treats a short chain-of-thought as an action that is rewarded based on the information gain it provides for the model’s next-token prediction. This innovative method creates a verifier-free and dense reward system that can be applied at scale to standard text streams. Unlike previous methods that depend on sparse signals or external verifiers, RLP’s approach allows for updates at every single token position. Experiments demonstrate that RLP can yield significant improvements in a model’s reasoning capabilities, with one model showing a substantial increase in its average score on scientific reasoning benchmarks. ...