
Clawdmeter is an open source project that brings Claude Code usage statistics to a small desktop dashboard. Created by Hermann Haraldsson, the device uses a Bluetooth-connected display to show pixel-art animations and token usage data, offering a nostalgic hardware experience. Since its launch, Clawdmeter has gained popularity on GitHub, reflecting the developer community's interest in tokenmaxxing. The project demonstrates how AI tools like Claude can democratize programming, allowing even non-embedded developers to create innovative devices.
Read originalThe latest b10175 release of llama.cpp continues its trend of broadening platform compatibility, making it a versatile tool for developers across different systems. Notably, this update includes support for ROCm 7.2 on Ubuntu x64, which is significant for AMD GPU users seeking alternatives to NVIDIA's CUDA. The release also maintains a wide array of builds for Windows, macOS, and Linux, ensuring that developers can leverage llama.cpp's capabilities regardless of their hardware setup. While there are no groundbreaking new features, the consistent expansion of platform support solidifies llama.cpp's position as a flexible inference runtime option.
The b10176 release of llama.cpp enhances its platform reach, notably adding ROCm 7.2 support on Ubuntu x64, which is a significant boost for AMD GPU users. This update continues to cater to a wide array of systems, from macOS to Windows and Linux, ensuring developers can deploy llama.cpp across various hardware setups. While there are no groundbreaking new features, the release solidifies llama.cpp's role as a flexible tool for AI inference. By improving compatibility and functionality, this update makes llama.cpp more accessible and practical for developers working with different systems.