Behind AI: How AI Learned to Play Games

Behind AI: How AI Learned to Play Games

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It started with simple games — tic-tac-toe, chess, checkers. Early AIs weren’t smart; they just followed rules and hoped you’d make a mistake. But as algorithms evolved, something fascinating happened: AI began learning.

When Deep Blue beat Garry Kasparov in 1997, the world gasped. But that was just the start. Then came AlphaGo — an AI that didn’t just play by the book; it rewrote it. By analyzing millions of moves and teaching itself through trial and error, it started making decisions even its creators didn’t fully understand.

Now, AI doesn’t just play games — it masters them. From StarCraft to Minecraft, it learns strategy, resource management, and even teamwork. Each victory pushes the boundaries of what “thinking” means.

Ironically, the more AI learns to play, the more we learn about ourselves — our patterns, our creativity, and our limits. In the game of progress, AI is not just a player. It’s the mirror showing us how we play.

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