The Misadventures of ChatGPT in Chess: A Humorous Look at AI’s Chess Knowledge

Artificial intelligence has made significant advancements in recent years, but when it comes to playing chess, it seems like there’s still a long way to go. ChatGPT, a popular language model developed by OpenAI, was put to the test with some chess questions, and the results were both amusing and eye-opening.

One of the most basic concepts in chess is checkmate, the move that ends the game. However, ChatGPT seemed to have a different opinion on the matter. When asked about performing Scholar’s Mate or Fool’s Mate, two of the simplest checkmates in chess, ChatGPT failed to provide the correct moves. In fact, it even recommended making blunders instead of executing the winning moves.

Furthermore, when presented with scenarios involving checkmate opportunities, ChatGPT’s responses were debatable, to say the least. It seemed to prioritize the value of pieces over winning the game, leading to some questionable advice.

Even when it came to endgame situations like stalemate, ChatGPT’s responses were less than ideal. While it knew what stalemate was, it didn’t seem to care much about achieving checkmate and winning the game.

Additionally, ChatGPT struggled with reading chess notation, providing incorrect moves and suggestions when given FEN notation. Its strategic advice was also hit or miss, with some nonsensical recommendations that left chess enthusiasts scratching their heads.

Overall, while ChatGPT may excel in many areas of language processing, it’s clear that when it comes to chess advice, it’s best to stick with human experts. As the saying goes, “Garbage in, garbage out,” and in the case of ChatGPT’s chess knowledge, it seems like there’s still a lot of room for improvement. So, for now, let’s leave chess to the chess people and the world domination to the computers.