Tech News: Kodiak's Driverless Trucks, New AI Models from Google & OpenAI, and the Rise of 24/7 DevOps

Kodiak’s Autonomous Trucks Hit Milestone with 100+ Driverless Deliveries in Permian Basin Kodiak Robotics and Atlas Energy Solutions have achieved a major milestone in logistics automation, successfully completing over 100 driverless deliveries of frac sand in the Permian Basin. This operation, utilizing two autonomous Class 8 semi-trucks, represents the first commercial use of a customer-owned fleet of self-driving trucks without a safety driver. The trucks navigate a challenging 21-mile route on private, unpaved oilfield roads, handling conditions like dust storms and heavy equipment traffic. Atlas Energy Solutions has praised the reliable service and ordered 100 more trucks, planning to scale the program in 2025 and 2026 as part of a broader strategy to create a fully automated supply chain. ...

November 29, 2025 · 3 min · 529 words · Omer

Latest Tech News: GPT-5.1, Quantum Computing Breakthroughs, and Embodied AI Updates

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. ...

November 16, 2025 · 3 min · 563 words · Omer

October 2025 AI News: Anthropic's Claude 4.5, IBM's Granite Models, and California's AI Safety Law

Anthropic Unveils Claude Sonnet 4.5 with Advanced Reasoning and Coding Anthropic has officially released its latest large language model, Claude Sonnet 4.5, featuring significant improvements in processing long contexts and performing complex mathematical and logical reasoning tasks. The company claims the model can perform tasks autonomously for over 30 hours and has demonstrated state-of-the-art performance on the SWE-bench Verified evaluation for software coding. Alongside the new model, Anthropic launched Claude Code 2.0, an integrated coding environment for developers with an enhanced UI and performance based on Sonnet 4.5. To facilitate the development of AI agents, the company has also released the Claude Agent SDK. The new model is now available through Anthropic’s API, the Claude app, Amazon Bedrock, and Google Cloud’s Vertex AI. ...

October 6, 2025 · 5 min · 1038 words · Omer

Daily Tech News: OpenAI's $100B Chip Deal, New AI Models, and Quantum Computing Breakthrough

OpenAI & Nvidia Eye $100B Chip Deal to Fuel Next-Gen AI OpenAI and Nvidia are reportedly planning a landmark $100 billion chip deal aimed at shaping the future of artificial intelligence. This significant investment underscores the increasing competition and demand for specialized data center chips to power advanced AI models. The collaboration is expected to involve OpenAI acquiring Nvidia’s GPU systems, with Nvidia taking a non-controlling equity stake. This strategic partnership aims to significantly scale OpenAI’s computational infrastructure. ...

September 25, 2025 · 5 min · 914 words · Omer

AI & Tech News: GPT-5 Release, Google's LLM Breakthrough, and Quantum Computing Advances

How Google AI’s New Method Reduces LLM Training Data by 10,000x Google Research has unveiled a groundbreaking method for fine-tuning large language models (LLMs) that reduces required training data by up to 10,000 times. This innovative approach utilizes active learning to focus expert labeling on the most informative examples, especially “boundary cases” where model uncertainty is highest. In experiments with Gemini Nano models, this technique matched or surpassed the quality of models trained on 100,000 random labels with as few as 250 to 450 targeted examples. This development promises to make AI model development significantly leaner, more agile, and more cost-effective. ...

August 11, 2025 · 6 min · 1127 words · Omer