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OpenAI’s GPT-5.2 Release Redefines Professional AI Capabilities OpenAI has released GPT-5.2, its latest and most advanced AI model, specifically engineered for professional knowledge work and enhancing economic value. The new model demonstrates significant improvements in tasks like creating spreadsheets, building presentations, and writing code. GPT-5.2 also showcases enhanced capabilities in image perception, understanding long contexts, and managing complex, multi-step projects. According to OpenAI, the model sets a new standard across numerous benchmarks, outperforming industry professionals in specified knowledge work tasks across 44 different occupations. This release is a strategic response to recent advancements from competitors like Google’s Gemini and Anthropic’s Claude, intensifying the AI landscape competition. The model is being rolled out in tiers, starting with paid plans in ChatGPT, and is available to all developers via the API, marking a significant step in OpenAI’s strategy to accelerate AI adoption in creative, analytical, and operational roles. ...
OpenAI Warns Future AI Models Pose ‘High’ Cybersecurity Risks OpenAI has issued a stark warning that its upcoming frontier AI models could present ‘High’ level cybersecurity risks. The company stated that these advanced models might be capable of automating the discovery and exploitation of significant cyber vulnerabilities, including the development of functional zero-day exploits. To mitigate these potential threats, OpenAI is implementing a ‘defense-in-depth’ strategy. This includes training its models to refuse harmful requests while remaining useful for defensive and educational purposes. The company is also establishing a Frontier Risk Council, an advisory board of cybersecurity experts, to help manage these advanced AI risks. Furthermore, OpenAI is developing a trusted access program to provide enhanced AI capabilities to qualified cybersecurity professionals for defensive operations. ...
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. ...
Google DeepMind to Launch AI-Powered Automated Science Lab in UK for Superconductor Research Google DeepMind will establish its first automated research laboratory in the UK in 2026, expanding its partnership with the UK government. The lab will utilize AI and robotics to accelerate scientific discovery, with an initial focus on developing new superconductor materials. This advanced facility will be fully integrated with Google’s Gemini AI. The partnership aims to reinforce the UK’s position as a global leader in science and technology. As part of the collaboration, UK scientists will receive priority access to some of DeepMind’s cutting-edge AI models, including AlphaGenome for DNA sequencing. The initiative will also explore using AI for cleaner fusion energy, developing safer AI educational tools, and enhancing public service efficiency. ...
Okibo’s EG7+ Robot: AI-Powered Drywall and Painting Automation Arrives in the US Okibo has officially launched its EG7+ robot in the United States, introducing an autonomous, AI-guided system for commercial painting and drywall finishing. This battery-powered robot is engineered for high-wall projects, boasting a reach of up to 24 feet for sanding, painting, and achieving a level 4 finish. A standout feature is its patented AI-driven 3D scanning and real-time modeling algorithm, which enables navigation without external markers or BIM tools. The EG7+ can cover an average of 1,000 square feet per hour, significantly boosting productivity and reducing physical strain on construction workers. The robot made its debut at the Federal and AEC Innovation Day hosted by Hensel Phelps, where it garnered positive feedback from industry leaders. ...
New AI System Enhances At-Home Balance Training for Physical Therapy Researchers at the University of Michigan have developed a new machine learning model to support home-based balance training for physical therapy patients. The system utilizes data from four wearable sensors to predict how a physical therapist would assess a patient’s performance on balance exercises. This AI-driven feedback can help patients make faster progress and maintain their abilities after their formal therapy sessions have concluded. The model was developed by training convolutional neural networks with sensor data and evaluations from physical therapists, achieving nearly 90% accuracy in predicting patient balance ratings. The technology aims to make balance training more accessible, particularly for those in rural areas, and to assist physical therapists in making healthcare decisions. ...
Tech News: IBM’s $11B Confluent Deal, Waymo Expands, and Quantum Teleportation Breakthrough Chicago Hosts 2025 Junior Theorists Workshop in Computer Science The 2025 Chicago Junior Theorists Workshop is being held on December 8th and 9th, hosted jointly by Northwestern University and the Toyota Technological Institute at Chicago (TTIC). The event is designed to showcase recent research from outstanding final-year Ph.D. students and postdoctoral researchers in theoretical computer science. The two-day workshop will feature a series of talks and discussions covering a wide range of topics within the field. This annual workshop provides a platform for junior researchers to present their work to the broader academic community and is supported by organizations including ACM SIGACT, IDEAL, NITMB, and the SkAI Institute. ...
Waymo Recalls Self-Driving Software Over School Bus Safety Concerns Waymo, the autonomous ride-hailing company, is filing a voluntary software recall after its self-driving vehicles were reported to have illegally passed stopped school buses on multiple occasions. The issue drew public attention following a viral video in September showing a Waymo vehicle bypassing a stopped school bus in Atlanta. Furthermore, the Austin Independent School District reported at least 19 similar incidents. ...
EU Investigates Meta’s WhatsApp AI for Antitrust Violations The European Commission has launched an antitrust investigation into Meta, focusing on concerns that its policies for WhatsApp could unfairly promote its own AI assistant. The probe follows complaints from smaller companies alleging that upcoming changes to WhatsApp’s access rules might hinder competing AI chatbots from reaching users. EU officials are considering interim measures to address these concerns while the investigation proceeds. This action is separate from, but complementary to, existing regulations under the Digital Markets Act. Italy’s antitrust authority is also conducting a parallel investigation. ...
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. ...