
The AI-powered feature builds a virtual wardrobe from your photos, and is now broadly available after first rolling out to Android users in June.
Google has released an AI-powered virtual closet feature that analyzes photos of outfits and organizes them digitally, allowing users to filter items by category and create different outfit combinations. The feature is now available across supported markets on both Android and iOS devices, following an initial rollout that began on Android in the summer. The tool was inspired by a similar digital wardrobe system featured in the movie "Clueless" and is designed to help users organize and plan their clothing without sharing their wardrobe data with third parties. This launch arrives alongside other Google Photos updates, including new AI-powered editing and filtering capabilities.

DeepSeek has released an official desktop app for DeepSeek Harness (dsh), its open-source agent harness. The app ships with the v0.2 preview. Installers cover macOS (Apple silicon) and Windows (64-bit). Is it deployable? Yes, today, as a preview. Download it from deepseek.com/harness or run npx @deepseek-ai/dsh web. DeepSeek warns that compatibility-breaking changes will follow. What Shipped in v0.2 A harness is the runtime that turns a model into an agent. It reads files, runs command

When AI systems claim task completion without verification, downstream errors can cascade through dependent processes, exposing gaps in reliability for critical workflows.

Capcom's Pragmata might be all about the horrors of AI, but in practice the studio doesn't seem so down on the tech. During the Capcom Open Conference RE: 2026 programmer Satoshi Ishida gave a presentation with the mouthful of a title: "The Outlook and Future of the REX Project, Further Evolving the RE Engine for the Next Generation." During the talk he laid out the challenges facing studios producing games at the scale of Resident Evil, which can make even simple tasks extreme
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