Models & Labs
Google DeepMind's Gemini Robotics 2 Enhances Robot Control
The Verge AIhigh confidence
Why it matters
- →Enables humanoid robots to perform complex, coordinated tasks.
- →Enhances safety and collaboration among multiple robots.
- →Advances the potential for real-world robotic applications.
Google DeepMind has unveiled Gemini Robotics 2, an AI model capable of controlling humanoid robots from head to toe. This advancement allows robots to perform a wider range of actions, such as walking and manipulating objects with five-fingered hands. The update also enhances multi-robot collaboration and safety features, making it the company's safest model yet. While movement speed is still a challenge, this development is a crucial step towards more complex real-world applications.
Read originalThe story around this
Earlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.
More from The Verge AI
More in Models & Labs
Models & Labsother
llama.cpp b11193 adds Snapdragon Hexagon and ROCm 10
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.
llama.cpp Releases
© Lev SelectorModels & Labsmodels
NVIDIA NVFP4 and SoL-Pi Token Efficiency
NVIDIA introduced the NVFP4 4-bit format and SoL-Pi technology, which uses 2x fewer tokens for improved efficiency.
