Tags: Google Gemini

OpenAI has added plugin support to its Codex coding assistant, a move aimed at narrowing the functional gap with rival AI coding tools from Anthropic and Google. The new plugins are packaged bundles that may contain skills, app integrations, and Model Context Protocol (MCP) servers, letting users configure Codex for specific tasks with a single click. While power users could already achieve similar results through custom instructions and MCP servers, the plugin library—featuring integrations such as GitHub, Gmail, Box, Cloudflare, and Vercel—offers a more streamlined, searchable experience. Read more

Google has added a feature to Gemini that allows users to import conversation history from other AI assistants. By copying a response from the previous AI or uploading a ZIP file of exported data, Gemini can continue a discussion without the user having to repeat prior details. The process is available through the Settings menu on the desktop version and supports files up to 5GB. Early testers report smoother interactions despite a brief processing wait, marking a notable step toward seamless multi‑AI workflows. Read more

Google’s Gemini AI can now control phone apps to place food orders and schedule rides, but the beta feature feels slow and sometimes clunky. It runs in the background, requires user confirmation before finalizing actions, and occasionally stalls on permissions or location prompts. While accuracy is often high, the experience highlights the need for app designs that better accommodate AI agents. Industry insiders see this as a preview of future mobile assistants, with developers urged to adopt newer integration methods like Model Context Protocol. Read more