
NVIDIA has unveiled Cosmos 3, an open model family designed to advance physical AI by integrating vision reasoning, world generation, and action prediction. This omni-model allows developers to simulate future states and generate synthetic data, providing a versatile foundation for specialized AI systems in robotics, autonomous vehicles, and vision AI. Cosmos 3's open nature under the Linux Foundation’s OpenMDW 1.1 license enables teams to adapt the models to their specific needs, fostering innovation and collaboration across industries. This development marks a significant step in making AI systems more adaptable and efficient.
Read originalThe b10311 release of llama.cpp tackles inefficiencies in text-to-speech (TTS) generation by refining how text streams are processed. Previously, the system would redundantly handle utterances, causing them to be read twice before completion. This update aligns the streaming overlay with the non-streaming prefill, effectively eliminating the duplication. Developers working with TTS systems will find this change streamlines the generation process and boosts efficiency. The update is accessible on macOS, Linux, and Windows, ensuring that a broad range of users can benefit from these improvements.
The b10313 release of llama.cpp introduces an LRU scheduler, significantly enhancing task management efficiency. This update includes improvements in handling coalescing, optimizing the waiting queue, and fixes for stream cases to ensure smoother operations. The release also expands platform-specific builds, such as Vulkan and ROCm 7.2 support on Ubuntu, and CUDA 12 and 13 on Windows. While there are no new model architectures, these updates demonstrate a commitment to refining performance and compatibility across various systems.