AI Finished Classic Tetris Game With Highest Possible Score Of 102 Million
Did you grow up playing NES Tetris on a loop? Did you also believe that the game goes on till eternity? Fret not, the perpetual game may have finally been defeated.
Like all recent developments in tech, this eventful victory was facilitated by artificial intelligence. Created by YouTuber Greg Cannon, the AI called "StackRabbit" reached a score of 102 million (102,252,920 to be exact) at level 237 at 3,112 lines.
The total run time of the game undertaken by artificial intelligence was an hour and five minutes, condensed into 25 minutes by Cannon on YouTube.
Machine learning is dictated by data, i.e., the more it gets trained to achieve its purpose, the better its results are. That's exactly what Greg Cannon did with "StackRabbit."
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Before reaching the astounding score of 102 million, Cannon's AI had reached the maximum score of 47 million (47,106,520 to be exact).
As Cannon explained in the video, the Tetris game eventually crashes at 102 million because later levels put immense pressure on the game processor and it struggles to make score calculations. Technically, the game didn't finish... it just crashed.
Regardless, it's a fantastic feat to reach a score of 102 million, which would be impossible for human players to reach for the AI runs the game at very high speeds which cannot be imitated by any human gamers.
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According to Cannon, the human possible maximum score stands at 1.5 million into level 29, where the speed doubles. It's known as the "kill screen" among Tetris gamers for it becomes very difficult for humans to play at that speed. But AI doesn't care for our limitations - it simply continues to persevere.
You can watch 25 minutes of Nes Tetris gameplay below:
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