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Anthropic Accuses Alibaba of Model Distillation Attack

Anthropic has accused Alibaba of conducting a model distillation attack on its AI models.

KPMG Survey: CEO-Led AI Strategy Yields 3X ROI

Llama.cpp b9784 Release Enhances Hexagon Performance

The latest b9784 release of llama.cpp brings significant optimizations to Hexagon's matrix multiplication capabilities. By reworking the MUL_MAT and MUL_MAT_ID operations, the update introduces a 32x32 tiled weight repack and improved kernel parameters, enhancing performance and efficiency. These changes aim to optimize register usage and streamline activation processing, particularly benefiting users leveraging Hexagon's architecture. This release doesn't introduce new models but focuses on refining existing processes, making llama.cpp more robust for developers working with diverse hardware configurations.

llama.cpp b9788 release enhances dual-GPU support

The latest release of llama.cpp, b9788, introduces significant improvements for dual-GPU setups with SYCL support, particularly enhancing tensor parallelism. By implementing a degenerate ring all-reduce for dual-GPU configurations, the update optimizes performance for both small and large tensor operations, mirroring CUDA's NCCL allreduce pattern. This release notably boosts performance metrics, with Llama-3.3-70B and Qwen3-Coder-Next-80B-A3B models showing substantial speed improvements. The update positions llama.cpp as a more competitive option for multi-GPU environments, without adding new dependencies or altering build configurations.