Introducing Attune — Bittensor Subnet 58 (SN58) The open frontier for adaptive robot intelligence. We're excited to announce the launch of Attune (SN58), a new @bittensor subnet built by Robotensor to accelerate the development of adaptive robot models. Today's robots are powerful, but adapting them to new tasks still requires collecting data, retraining models, and reprogramming workflows. We believe robots should learn new work simply by being shown what to do. Attune brings researchers, engineers, and miners together to compete in building the next generation of robot intelligence. Our research focuses on: - In-Context Learning (ICL) — Learning new tasks from demonstrations without retraining. - Generalization — Adapting to new objects, environments, and robot configurations. - World Action Models (WAMs) — Learning physical dynamics and predicting future actions. - Efficient Inference — Moving toward real-time, closed-loop robotic control. Our first competition, Vector, is now open. 🚀 Miners train and submit model weights, while validators evaluate performance through randomized simulation and transparent, reproducible head-to-head competitions. Our upcoming competition, Horizon, will expand toward human-video learning, World Action Models, and efficient inference. We believe the future of robotics will be built through open research, measurable progress, and global collaboration. A robot should not need a new brain every time the work changes. Join us in building that future. 🌐 Website: attune.robotensor.ai/ 📖 Documentation: attune.robotensor.ai/docs 📄 Whitepaper: attune.robotensor.ai/whitepa… 💻 GitHub: github.com/robotensor/attune… Attune | SN58 | Powered by @bittensor #Bittensor #Robotensor #Attune #Robotics #PhysicalAI