The GenSim project at the Massachusetts Institute of Technology utilizes large language models to expand the range of simulation tasks that robots can be trained on. By automatically generating new tasks or detailing each step of the required behavior, the project successfully trains robotic arms to perform tasks by generating task descriptions and the code needed for simulated behaviors, optimizing the code using a task library. GenSim could potentially benefit kitchen robots, manufacturing, and logistics sectors, enabling robots to adapt to multi-step environments.