From Brute Force to AI Models: How Chess Learned to Play Smarter In 1997, the chess world shook when Garry Kasparov lost to IBM’s Deep Blue — a brute-force machine built to calculate millions of moves per second. Fast forward to today, and AI has moved beyond raw calculation to self-learning models like AlphaZero that teach themselves strategy. In this episode of Game Play Sport, guest Kedar Kulkarni takes us through the journey of chess and AI — how a 1,500-year-old game didn’t die when machines became stronger, but instead adapted, evolved, and even became more popular. What can other sports learn from this? Can cricket, football, or even esports embrace AI in the same way? Watch the full episode and discover how AI is rewriting the rules of the game #Chess #ArtificialIntelligence #Kasparov #DeepBlue #AlphaZero #Stockfish #SportsAndAI #GamePlaySport #AIFuture #ChessHistory

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