WHAM (World and Human Action Model) is a generative model developed by Microsoft Research, specifically designed for generating game scenes and player behaviors. Trained on data from Ninja Theory's 'Bleeding Edge' game, it can generate coherent and diverse game visuals and controller actions. WHAM's primary advantage lies in its ability to capture the 3D structure of game environments and the temporal sequences of player actions, providing a powerful tool for game design and creative exploration. The model primarily targets academic research and the game development field, helping developers rapidly iterate on game designs.