Android Authority spotted a new Gemini-powered “Ask Google Help” assistant on some of Google's official support pages, and said it confirmed the experience on the support sites for Google Play, Chrome, Google Home and Nest, and Gemini Apps on mobile and desktop, with Google Play showing the most complete implementation. 9to5Google later reported that support articles under Google Account Help now open as an AI summary rather than the article itself, with a “View Sources” button to reach the original text and direct links defaulting to the AI experience. Both outlets describe a limited test on select topics — Pixel Help still defaults to articles — and note Google has not publicly announced it; Android Authority also hit one response that mangled formatting and exposed full image URLs, and Google warns the AI can be inaccurate.
Speaking at MIT Future Fest, Tony Fadell — credited with the iPod, the iPhone and as founder of Nest — said the first wave of AI hardware (Rabbit R1, Humane AI Pin, Limitless pendant) failed because it “didn’t meet any kind of need” and was just interesting technology for geeks. He argued trust and safety are paramount for a personal AI assistant, noting Meta’s Muse had a serious vulnerability found soon after launch, and that Apple has the hardware, chips and privacy credibility but no world-class model of its own — the new Siri AI runs on custom versions of Google’s Gemini. He predicted a successful agent will have to run on-device only, for privacy and to stay lightweight.
What problem it solves
ripgrep is a line-oriented search tool that recursively searches the current directory for a regex pattern. By default, it respects gitignore rules and automatically skips hidden files/directories and binary files.
Key features
Automatic ignore-aware filtering — By default the tool skips files ignored by .gitignore/.ignore/.rgignore files, hidden files and directories, and b…
What problem it solves
Passwords, API keys, and tokens can be committed or stored unnoticed in source code and repository history. Developers need a way to scan repositories, directories, individual files, and streamed data to identify these secrets.
Key features
Multiple scanning modes — Scan local Git repositories, directories or files, and data supplied through standard input using the `git`, `…
What problem it solves
Applications often need to combine services, plugins, configuration, and runtime behavior while preserving clear boundaries between components. Cordis addresses composability through contextual services, interception, configuration validation, and lifecycle-aware runtime behavior.
Key features
Service composition and interception — Services can participate in contextual comp…
What problem it solves
Creating command-line applications requires organizing commands, arguments, flags, help output, and shell completion into a coherent interface. Cobra provides a simple, structured way to build these interactions for modern Go applications.
Key features
Subcommand-based command structure — Applications can organize actions as commands with children, nested commands, and optio…
What problem it solves
Building Python APIs often requires coordinating request handling, data validation, serialization, editor support, and API documentation. FastAPI addresses these concerns through standard Python type hints, Pydantic models, and automatic OpenAPI-based documentation.
Key features
Type-hint-based API declarations — Declare paths, parameters, and request bodies using standard m…