
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.
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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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Gemini Robotics 2 Enhances Robot Intelligence
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