
Several key figures have recently departed from DeepMind, a leading AI research lab. This movement is seen as part of a broader trend towards open-weight models, which are gaining traction in the AI community. These departures may reflect a strategic shift as researchers and developers explore new opportunities outside traditional AI labs. The trend underscores the growing influence of open-weight models in shaping the future of AI.
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This release quietly expands llama.cpp's hardware support to include Qualcomm's Hexagon NPU on Linux arm64, a significant step for local inference on Snapdragon devices. It also updates CUDA builds to version 13.4 and introduces ROCm 10.0 binaries, keeping the project aligned with the latest NVIDIA and AMD driver ecosystems. KleidiAI on Apple Silicon is temporarily disabled in this build, likely due to stability checks rather than a feature rollback. For developers targeting edge AI or diverse GPU stacks, this update ensures broader compatibility without requiring custom compilation.
© Lev SelectorNVIDIA introduced the NVFP4 4-bit format and SoL-Pi technology, which uses 2x fewer tokens for improved efficiency.
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