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The testing began traditionally, with a coding challenge wherein the model was tasked with creating a simple game—specifically, a snake game using Python. However, the complexity was increased significantly as the process unfolded. Initially, the model managed to create a game effortlessly and even wrote a script that allowed the snake to automatically play itself.
Increasing Complexity
Once the basic game mechanics were established, additional layers of complexity were introduced. The model was prompted to enhance the game by adding various elements such as a scoring system, obstacles (traps), and increased difficulty. Amazingly, the AI adapted seamlessly, adjusting its code in real time while maintaining effective gameplay.