Core Viewpoint - The article discusses the rising popularity of the AI game "Draw A Fish," which allows users to draw a fish and see it swim in a virtual aquarium, attracting millions of players globally due to its simplicity and interactive features [3][14]. Group 1: Game Mechanics - The game requires players to draw a fish on a canvas, with an AI providing real-time feedback on how fish-like the drawing is, based on a similarity threshold of 60% [5][14]. - Players can name their fish and place it in a shared virtual aquarium, where it swims alongside creations from other users [5][14]. - A leaderboard showcases the highest scores, with the top score reaching 53,245 points for an abstract fish drawing [7][14]. Group 2: User Engagement - The game is designed to be low-barrier, requiring no login or tutorial, which encourages immediate participation [14]. - The AI's feedback mechanism creates a sense of achievement as users improve their drawings, enhancing the overall gaming experience [14]. - The shared aquarium fosters community interaction, allowing users to like or dislike each other's fish, thus creating a social atmosphere [15]. Group 3: Technical Aspects - The game utilizes a convolutional neural network based on the ResNet18 architecture, trained with the Google QuickDraw dataset to classify drawings as "fish" or "not fish" [16][18]. - The model's design includes a lenient recognition approach to enhance user enjoyment and engagement [16]. - Various engineering features, such as early stopping and consistent preprocessing, are implemented to optimize the model's performance [18].