OpenAI Unveils GPT-5.2, A Powerful AI Model for Professional Workflows
OpenAI has officially launched GPT-5.2, its most advanced AI model series yet, engineered to enhance professional workflows and tackle complex, multi-step projects. The new series—comprising GPT-5.2 Instant, Thinking, and Pro—delivers significant improvements in coding, spreadsheet and presentation creation, image perception, and understanding long contexts. According to OpenAI, GPT-5.2 Thinking shows a 30 percent reduction in errors compared to its predecessor, GPT-5.1, making it more reliable for tasks like research, writing, and analysis. The model also demonstrates improved performance in mathematical problem-solving and abstract reasoning benchmarks. The rollout of GPT-5.2 will begin with paid ChatGPT users, with the API now available to all developers, marking a strategic move to solidify OpenAI’s leadership in the competitive enterprise AI landscape.
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Theia Revolutionizes Baseball Analytics with AI-Powered 3D Swing Analysis
Sports technology firm Theia has introduced a groundbreaking AI-powered performance platform providing fully integrated, markerless bat and body tracking for baseball. This innovative system captures 3D swing mechanics, including bat trajectory and biomechanical sequencing, using only standard high-speed video, thus eliminating the need for sensors or specialized equipment. The technology has been rigorously tested and validated by industry leaders Driveline Baseball and the Point Loma Nazarene University Biomechanics Lab. Theia’s platform is built on deep-learning models trained on millions of human movement data points, combining bat and body biomechanics into a single, deployable workflow for various training environments. This innovation aims to provide coaches and analysts with lab-grade biomechanical data in real-world settings.
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Rivian Accelerates Autonomous Driving with Autonomy+ and In-House Chips
At its Autonomy & AI Day, electric vehicle (EV) manufacturer Rivian announced several major developments in its semi-autonomous driving technology. The company is launching Autonomy+, a subscription service providing hands-free driving capabilities on over 3.5 million miles of North American roads. Priced at $50 a month or a one-time fee of $2,500, the service will include features like Lane Change on Command and Auto Parking. In a significant strategic shift, Rivian revealed it will design its own chips, manufactured by TSMC, instead of using outside suppliers. Two of these new chips will power the next-generation Autonomy Compute Module 3. The upcoming R2 model will be equipped with a full sensor suite—including 11 high-resolution cameras, five radar sensors, and one lidar—to support these new autonomous features.
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Waymo Recalls Over 3,000 Autonomous Vehicles for Critical Software Update
Waymo, Alphabet’s autonomous driving unit, has recalled 3,067 of its vehicles in the United States due to a critical software issue. The US National Highway Traffic Safety Administration (NHTSA) reported the recall was initiated because the software could cause the vehicles to incorrectly drive past stopped school buses, posing a significant crash risk. The issue affected 5th generation automated driving systems. Waymo has already addressed the problem by rolling out a software update, and the NHTSA confirmed that all affected vehicles were repaired by November 17. The recall follows reports from Texas officials that Waymo vehicles had illegally passed school buses on at least 19 occasions since the school year began.
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Google’s Gemini App Gets Generative UI for Dynamic AI Experiences
Google has unveiled a new implementation of generative UI, enabling its AI models to create interactive and immersive user experiences on the fly in response to user prompts. This new capability is rolling out in the Gemini app and Google Search, starting with AI Mode. The system can generate custom interfaces such as web pages, games, and tools based on user input, moving beyond static, predefined interfaces. The feature is powered by Gemini 3’s advanced multimodal understanding and agentic coding capabilities. These generative UI capabilities are initially available to Google AI Pro and Ultra subscribers in the U.S. through experiments in the Gemini app called dynamic view and visual layout.
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Azure DevOps to Retire Global Personal Access Tokens to Bolster Security
In a significant security enhancement, Azure DevOps has announced the upcoming retirement of the Global Personal Access Token (PAT). This change is part of a broader security strategy to move away from broad, full-scoped PATs and enforce organizational-level policies that limit token power. The creation of new global PATs and the regeneration of existing ones will be blocked starting March 15, 2026, with all existing global PATs being fully decommissioned by December 1, 2026. Microsoft recommends transitioning to shorter-lived, Microsoft Entra–backed authentication for improved token governance and a stronger security posture.
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QuEra Secures $230M to Commercialize Fault-Tolerant Quantum Computing
Quantum computing firm QuEra has announced a major industrial push, backed by over $230 million in new capital from high-profile investors including Google Quantum AI, SoftBank, and NVIDIA’s NVentures. The company declared that 2025 is the year fault tolerance in quantum computing became a reality, as it has validated the complete architectural blueprint for large-scale, error-corrected quantum systems. This development signals a shift from research to the industrial deployment of commercially viable quantum hardware. In collaboration with academic partners at Harvard, MIT, and Yale, QuEra has published demonstrations in Nature that address long-standing challenges in fault-tolerant quantum computing, such as continuous qubit replenishment and scalable error correction. A notable achievement involved a 3,000-qubit neutral-atom array that operated for over two hours, replenishing qubits during computation to overcome atom loss. With its third-generation systems planned for 2026-2027, QuEra is on a clear path to delivering a large number of continuously operating logical qubits.
QuantWare Unveils Breakthrough 10,000-Qubit Quantum Processor Architecture
Quantum hardware innovator QuantWare has announced VIO-40K™, a new 3D wiring architecture enabling the creation of quantum processing units (QPUs) with an unprecedented 10,000 qubits. This represents a 100-fold increase in the number of qubits a quantum computing chip can support compared to current processors from companies like Google and IBM, which have around 100 to 120 qubits. The novel 3D wiring and chip fabrication method allows these powerful QPUs to fit into a smaller space than existing 100-qubit chips. To support this production, QuantWare is building Kilofab, an industrial-scale QPU fabrication facility in the Netherlands, scheduled to open in 2026 and increase production capacity by 20 times. The first shipments of VIO-40K processors are expected in 2028.
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Nu Quantum Raises $60M Series A to Build Distributed Quantum Computers
Nu Quantum, a company specializing in distributed quantum computing, has successfully closed an oversubscribed $60 million Series A funding round. This is reportedly the largest financing round for a pure-play quantum networking company and the largest quantum Series A in the UK to date. The funding will accelerate the company’s efforts to achieve fault tolerance by interconnecting multiple quantum processors into a more powerful, distributed quantum computer. Nu Quantum’s technology focuses on a quantum networking stack, which it calls the Entanglement Fabric, designed to allow quantum computers to scale by weaving individual processors together. The company plans to use the investment for its next phase of product development and to support international expansion, including growing its presence in Europe and the United States.
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Harness Raises $240M to Weave AI into the Software Delivery Lifecycle
Software delivery platform Harness has secured a significant $240 million financing round. The company will use the funding to further its mission of integrating artificial intelligence into the entire software development and delivery lifecycle. This major investment highlights the industry’s focus on leveraging AI to improve efficiency and innovation in software engineering, a trend often referred to as “AI for Everything After Code”.
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