
Google DeepMind has launched Gemini Robotics 2, a new AI model designed to control various robots, including humanoids capable of complex tasks. The system integrates several AI models, allowing robots to understand and interact with their surroundings. Demonstrations showed robots autonomously performing tasks like tidying shelves. While this advancement highlights Google's expertise in robotics, it also raises safety concerns, leading to the introduction of the ASIMOV-Agentic benchmark for safety assessment. This release signals Google's push to expand AI's role from digital to physical applications.
Read originalThe latest b10208 release of llama.cpp introduces significant improvements in SYCL performance, particularly with the addition of oneMKL GEMM flash attention for XMX-accelerated prompt processing. This update addresses previous issues with interleaved destination layouts in the normalize kernel, ensuring more accurate attention outputs across models. By removing redundant stream waits and refining MKL FA dispatch gates, the release optimizes processing speeds, nearly doubling performance in some cases. These enhancements make llama.cpp a more robust and efficient tool for developers working with large language models.
The latest b10211 release of llama.cpp continues its trend of broadening platform compatibility, making it a versatile tool for developers across various systems. Notably, this update includes support for Ubuntu with ROCm 7.2, enhancing performance for AMD GPU users. Windows users benefit from the inclusion of CUDA 12 and 13 DLLs, ensuring compatibility with the latest NVIDIA technologies. While the release doesn't introduce new model architectures, it solidifies llama.cpp's position as a flexible inference runtime across diverse hardware configurations.