OpenAI announced Dactyl, a system that manipulates objects with a human-like robot hand (the Shadow Dexterous Hand). Trained entirely in simulation, the learned policy transferred to the physical robot without fine-tuning. Using the same general-purpose reinforcement learning algorithm and code as OpenAI Five, Dactyl reoriented a block in the palm of the hand, achieving up to 50 consecutive rotations, demonstrating that agents trained in simulation can solve real-world tasks.