A cyber attack has disrupted refrigeration systems in French supermarkets. The incident occurred recently at an unspecified group of stores. The attack affected the temperature control of fridges and freezers. The cause and responsible parties are currently under investigation.
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A technical guide outlines architectures for building multi-agent AI systems. It explains that multi-agent systems use specialized AI agents working together to overcome the limitations of single AI models. The guide details several common architectural patterns, including a supervisor model, hierarchical structures, and peer-to-peer swarms. Each pattern is suited to different tasks, such as task decomposition, complex organizational workflows, or exploratory problem-solving. The article provides code examples and specifications for implementing these systems.
A service called Kviqo offers automated video processing tailored for platforms like TikTok, YouTube Shorts, and Reels. It uses a model trained on over a thousand hours of short-form content to intelligently trim dead seconds and optimize video quality. The tool can detect scene changes and dialogue, significantly shortening videos without losing key content. However, it currently has limitations, including limited codec support and automatic downscaling of 4K footage.
Developer Saeed Masoudi has released Pywarp version 2.0.0, a significant update to his open-source project. The software is a Python-based desktop alternative to the official Cloudflare WARP application for managing network connections. The key change in this release is a migration of the user interface to Qt Quick, aiming to provide a more modern and improved experience. The tool allows users to switch between MASQUE and WireGuard protocols, configure DNS, set custom endpoints, and manage split tunneling rules. The developer announced the update on DEV Community, sharing the project's GitHub repository for further feedback and development.
Meta launched its new Muse Wonder AI model family on October 12, 2026, marking it as the company's most capable offering to date. The model is specifically engineered for complex, multi-step agentic tasks requiring tool use, context retention, and high persistence. It is available in two versions: a standard API-accessible version and a more powerful variant currently limited to Meta's Muse Code platform. The model is a closed system available only via API, not open-source weights. Meta highlights its improved 'Active Memory' for long-context recall and 'Active Focus' for persistent problem-solving as key features.
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