UMA (Universal Mechanical Assistant), a new robotics intelligence company founded by former leaders from Tesla, Google DeepMind, Nvidia and Hugging Face, launches today with a clear goal: to bring advanced AI into the physical world and build humanoid robots ready for real work, in real environments, at scale. UMA’s founders were instrumental in shaping the

The pace at which large language models (LLMs) evolve is making it virtually impossible to keep up. Allie Miller, for example, recently ranked her go-to LLMs for a variety of tasks but noted, “I’m sure it’ll change next week.” Why? Because one will get faster or come up with enhanced training in a particular area.

Today’s AI coding agents are impressive. They can generate complex multi-line blocks of code, refactor according to internal style, explain their reasoning in plain English, and more. However, AI agents will take you only so far unless they also can interface with modern devops tools. This is where the Model Context Protocol (MCP) comes in.

Popular genetics tests can’t tell you much about your dog’s personality, according to a recent study. A team of geneticists recently found no connection between simple genetic variants and behavioral traits in more than 3,200 dogs, even though previous studies suggested that hundreds of genes might predict aspects of a dog’s behavior and personality. That’s

CHANCAY, Peru—The elevator doors leading to the fifth-floor control center open like stage curtains onto a theater-sized screen. This “Operations Productivity Dashboard” instantaneously displays a battery of data: vehicle locations, shipping times, entry times, loading data, unloading data, efficiency statistics. Most striking, though, are the bold lines arcing over the dashboard’s deep-blue Pacific—digital streaks illustrating

On the surface, generative AI chatbots like ChatGPT and Claude seem like harmless tools invented to make life easier for everyone. After all, they’re capable of generating basic content on the fly, make amazing brainstorming partners, and they can even write code. But AI tools are inherently vulnerable and can be manipulated for illegitimate purposes

Lloyds Bank is betting on a future where purchasing a home might be as easy as pushing a button – thanks to an unexpected mashup of blockchain and artificial intelligence. The bank’s chief executive, Charlie Nunn, told delegates at the Global Banking Summit that a combination of “tokenised deposits” and AI could revolutionise mortgages, conveyancing, payments

AI agents embedded in CI/CD pipelines can be tricked into executing high-privilege commands hidden in crafted GitHub issues or pull request texts. Researchers at Aikido Security have traced the problem back to workflows that pair GitHub Actions or GitLab CI/CD with AI tools such as Gemini CLI, Claude Code Actions, OpenAI Codex Actions or GitHub

Google this week launched Workspace Studio, promising to let a wide range of employees build and use their own AI agents.  Workspace Studio — it was called Workspace Flows during preview earlier this year — is a no-code application that lets users create and customize agents with natural language descriptions and muti-step actions.  “Studio puts the

OpenAI’s research team has trained its GPT-5 large language model to “confess” when it doesn’t follow instructions, providing a second output after its main answer that reports when the model didn’t do as it was told, cut corners, hallucinated, or was uncertain of its answer. “If we can surface when that happens, we can better