Google's DeepMind department has launched an artificial intelligence model called Genie, which has the ability to convert images into video games. Users can easily create a whole new gaming world for platform games by following a few simple steps. Although the Genie model is relatively small, with only 11 billion parameters, it has been trained on a massive amount of data. The model has been trained on over 200,000 hours of videos that capture the process of people playing 2D platform games. Due to the inherent rules in these games, Genie has learned the action mechanisms and principles of physics associated with them. It is worth mentioning that these training videos do not contain information about when buttons or controllers are pressed, yet Genie still achieves impressive training results. In practical applications, Genie can take a single image (whether it's a photo, sketch, or AI-generated image) and quickly transform it into an interactive game environment that can be controlled by the user. This transformation process can be completed in a single operation, making it highly efficient. However, it is important not to have excessive expectations for Genie's ability to create high-quality games at the moment. After all, it is still a research project and not a final product. Since Genie was trained on videos with a resolution of 160x90 pixels and only 10 frames per second, the "games" it generates have relatively low resolution and frame rate. Specifically, these games have low resolution and can only run for 16 seconds with 1 frame per second. Nevertheless, the basic concept of Genie has been validated, and there are indications that its performance will significantly improve with scale. To achieve this goal, longer and higher-resolution videos, as well as additional computing power, are needed.