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Anthropic has launched Cowork, an innovative AI agent designed to help non-technical users manage files and complete everyday tasks on their computers, expanding the capabilities of its popular Claude Code tool.
Anthropic launches Cowork, a new AI agent designed to handle file management and non-technical tasks on macOS, expanding the reach of its Claude Code developer tool to mainstream users and challenging Microsoft Copilot in AI productivity.
OpenAI introduces Frontier, a new platform designed to enable businesses to build, deploy, and manage AI agents that perform practical work, bridging the gap between AI capabilities and enterprise needs.
Anthropic introduces a Fast Mode for its Claude Opus 4.6 AI model, delivering responses 2.5 times faster with maintained quality but at a token price up to six times higher than standard rates.
Anthropic’s latest upgrade to Claude Opus 4.6 delivers response speeds 2.5 times faster while maintaining quality, but users face a significant price increase of up to six times the usual token cost.
Vercel’s recent study reveals that straightforward text files provide more effective and up-to-date knowledge access for AI coding agents than intricate skill systems, simplifying AI development workflows.
OpenAI has launched the Codex app for macOS, enabling developers to operate multiple AI agents concurrently. This tool is accessible to free users and addresses the rising need for agent-based AI systems in coding and knowledge work.
As AI reshapes digital content creation, three leading platforms—Canva Pro, Google Nano 3, and Sora 2—are evaluated for their impact on productivity and creative workflows in 2026.
Anthropic has launched Cowork, a new AI-powered desktop agent designed to help non-technical users organize, edit, and create files directly on their computers. Built rapidly using its own Claude Code technology, Cowork represents a significant step in making AI productivity tools accessible beyond developers.
The AI-powered coding assistant Cursor has dramatically accelerated codebase indexing, reducing the time needed from over four hours to just 21 seconds, promising significant productivity gains for developers.