Part 7/9:
The ambition crescendos as the presenter tasks the AI with building a machine learning framework capable of playing Tetris autonomously. By adding reinforcement learning elements using libraries like stable baselines 3, the AI constructs its functionalities designed to learn and improve gameplay through trial and error.
Despite facing hurdles such as circular import issues and necessary adjustments, the presenter continues to interact with the AI, demonstrating the flexibility and responsiveness of the tool in the Vibe Coding context.