AI
AI models, agents and the tools people use at work.
Latest news
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Microsoft Introduces Copilot Home, Code and Autopilot
The new experiences have different rollout schedules, with Autopilot still in private preview.
OPAQUE Introduces Agent Manifest and Confidential MCP
OPAQUE's June announcement focuses on verifying agent identity, permissions and tool execution.
Google Releases Gemma 4 Under Apache 2.0
Gemma 4 arrives in four model sizes, from smaller device-focused versions to larger workstation models.
Claude Sonnet 4.6 Expands Coding and Computer Use
Anthropic updates Sonnet with a larger beta context window and changes to coding and computer-use capabilities.
Explainers & guides
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Before You Give an AI Agent Access to Your Inbox
Reading mail and sending it are different permissions. Start with the job you actually want done.
Why an AI Benchmark Win May Not Help With Your Work
A leaderboard measures a test. Your workflow adds documents, tools, delays and costly mistakes.
Running AI on Your Laptop: What to Check First
Memory, model files and cloud settings matter more than a screenshot of a local chat window.
About this desk
A model announcement is the beginning of a story. We follow what becomes available, which tasks a product can perform and what access it needs to perform them. Releases and previews are kept distinct, and company claims remain attributed.
Start with our guide to inbox agents if you are deciding what an assistant should be allowed to read or change. The benchmark explainer shows why a leaderboard result may not predict performance on your own documents.
This desk also covers local models, practical workflows and the infrastructure behind AI services. We look for useful details about memory, cost, permissions and verification. Coverage based on documentation is identified as such; it is not presented as a hands-on test. The latest reports and longer guides below give you both the announcement and the context needed to assess it.