Deepmind published a new blog post where they present their newest AI which is based on their previous work Gato. RoboCat is a self-improving AI agent for robotics that learns to perform a variety of tasks across different arms and then self-generates new training data to improve its technique. It is the first agent to solve and adapt to multiple tasks and do so across different, real robots. RoboCat learns much faster than other state-of-the-art models. It can pick up a new task with as few as 100 demonstrations because it draws from a large and diverse dataset. This capability will help accelerate robotics research, as it reduces the need for human-supervised training, and is an important step towards creating a general-purpose robot.