This article is a summary of a YouTube video "AI Learns to Speedrun Celeste" by AI Spawn
TLDR An AI trained using a "Monkey Model" algorithm was able to beat the first level of Celeste after 30 hours of training, demonstrating the importance of trial and error in achieving success and the advantage of computer vision in speedrunning.
The creator of the video uses a "Monkey Model" algorithm, inspired by the saying "give a million monkeys a million typewriters, and eventually they'll write out the entire works of Shakespeare," to train an AI to play Celeste.
The AI's ability to clone and mutate the arrays of the closest dots demonstrates the importance of trial and error in achieving success.
The lack of camera movement in Celeste Classic allows for data extraction using computer vision, providing an advantage for AI speedrunning.
The AI was able to beat the first level of Celeste after 30 hours of training using a method that involved filtering for certain colors and simulating keyboard inputs.
The creator added fancy aesthetics to match the original game, showcasing the importance of visual appeal in game design.
This AI discovered skips that I didn’t even know were possible.
The creator expresses gratitude for the overwhelming support from viewers and thanks everyone for their support.