
Developer Bilawal Sidhu has launched God's Eye View, an open-source application that transforms personal computers into comprehensive situational awareness dashboards. The tool integrates real-world data streams—including flight paths, satellite imagery, maritime tracking, and public traffic cameras—into a unified 3D interface. Built with AI assistance, the platform features voice-controlled navigation and allows users to query specific events, such as NASA fire detections or rocket launches, for contextual analysis. While the core project is free and open-source on GitHub, certain advanced data sources require API keys which may incur costs.
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© Matt WolfeOpenAI's ChatGPT Astra agent autonomously controlled Minecraft to build a portrait of the user over 102 minutes.
© Matt WolfeMeta has released Muse, an AI agent designed to integrate with personal apps like email and banking via a secure virtual machine.
The latest b10989 release of llama.cpp continues its trend of broadening platform compatibility, now supporting a wide array of systems including macOS, Linux, Windows, and openEuler. Notably, this update includes support for CUDA 13.3 libraries on Ubuntu and Windows, as well as ROCm 10.0, enhancing its utility for AMD GPU users. While KleidiAI support is disabled on macOS, the release still marks a significant step in making llama.cpp a versatile tool for developers across different hardware configurations. This update doesn't introduce new models but focuses on expanding the accessibility of existing capabilities.
The b10992 release of llama.cpp marks another step in expanding its platform reach, now accommodating systems like Ubuntu with Vulkan and CUDA 13.3 libraries, alongside Windows with OpenCL Adreno. This update reflects llama.cpp's ongoing effort to serve as a versatile inference runtime, offering support for both AMD and NVIDIA users through ROCm 10.0 and CUDA. While the release doesn't introduce new model architectures, it significantly improves accessibility for developers working with various hardware configurations. This makes llama.cpp a more inclusive tool for AI practitioners aiming to utilize different computing environments effectively.
The b10952 release of llama.cpp continues its trend of broadening platform compatibility, now supporting a wide array of systems including macOS, Linux, Windows, and openEuler. Notably, this update includes support for Vulkan and ROCm 10.0 on Ubuntu, as well as CUDA 12 and 13 on Windows, enhancing its utility for developers working across diverse hardware configurations. While KleidiAI support on macOS Apple Silicon is disabled, the release still marks a significant step in making llama.cpp a versatile tool for AI inference across different environments. This update doesn't introduce new models but solidifies llama.cpp's position as a flexible runtime option for developers beyond the NVIDIA ecosystem.