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ChatGPT's Chess Challenge: An Unexpected Defeat to Atari's Video Chess

Ivan Petrov
Ivan Petrov
"Who would have thought Atari would be a better chess player than ChatGPT? 😂"
Samuel Okafor
Samuel Okafor
"Interesting experiment! But why use a 46-year-old game to compare them?"
Emily Carter
Emily Carter
"Let's be real, AI is still learning! Give it some time."
James Okafor
James Okafor
"Atari vs. AI? This is the content we didn’t know we needed!"
Darnell Thompson
Darnell Thompson
"ChatGPT should stick to chatting, chess might be a bit too much!"
Carlos Mendes
Carlos Mendes
"Can we get a rematch with a better chess interface?"
Rajesh Singh
Rajesh Singh
"I want to see ChatGPT play against Deep Blue next! Now that would be epic!"
Sofia Mendes
Sofia Mendes
"I wonder if it would do better with a different strategy game."
Robert Schmidt
Robert Schmidt
"This just shows that not all AI can outsmart a classic game!"
Michael Johnson
Michael Johnson
"I guess nostalgia still has its advantages in the tech world."

2025-06-12T14:05:00Z


In the competitive landscape of AI chatbots, OpenAI's ChatGPT faces a variety of challengers, including emerging technologies such as Gemini, Copilot, and Claude. However, a surprising new contender has entered the fray: the Atari 2600. This iconic video game console, which made its debut in 1977, was recently featured in an intriguing experiment designed to test the capabilities of ChatGPT in the realm of chess.

Robert Caruso, an engineer at Citrix, utilized a software emulator to run a game titled Video Chess, originally released by Atari in 1979. With a nostalgic twist, Caruso set up a match between the renowned AI chatbot and this retro game to assess how well ChatGPT could perform against a classic chess program.

Unfortunately for ChatGPT, the experiment did not yield favorable results. Caruso detailed the match in a LinkedIn post, revealing that the chatbot struggled significantly during gameplay. He noted that ChatGPT frequently confused rooks for bishops and failed to recognize critical tactics such as pawn forks. The AI also lost track of the board, initially attributing its difficulties to the Atari icons being too abstract, yet even after switching to standard chess notation, its performance did not improve.

Caruso humorously remarked, “It made enough blunders to get laughed out of a 3rd-grade chess club,” highlighting just how far from a competent chess player the chatbot proved to be. He further commented that ChatGPT got "absolutely wrecked at the beginner level," with the 90-minute match continuing to deteriorate as the AI repeatedly requested to restart the game.

The historical context of computer chess matches adds another layer to this narrative. For decades, the ability of computers to outplay human opponents in chess has been a barometer of artificial intelligence capability. A landmark moment occurred in 1997 when IBM's Deep Blue triumphed over world chess champion Garry Kasparov in a highly publicized series of matches, cementing the notion that machines could surpass human intellect in this strategic game.

Despite the disheartening results of Caruso's experiment, it is crucial to note that this does not render ChatGPT ineffective for chess-related conversations. Its design as a language model, rather than a sophisticated chess-playing supercomputer, inherently limits its effectiveness in this domain. In fact, a few years ago, a developer created a plugin known as ChessGPT for ChatGPT, specifically to enhance its chess-related interactions. This suggests that while playing chess might not be ChatGPT's strong suit, discussing the game is likely more fruitful.

As of now, OpenAI has not responded to requests for comments regarding this unusual experiment. This lack of immediate communication from the company leaves room for speculation about the implications of such findings for ChatGPT's development and its future applications in strategic games.

It is also worth noting that Ziff Davis, the parent company of CNET, has recently filed a lawsuit against OpenAI, claiming infringement of its copyrights during the training and operation of its AI systems. This ongoing legal issue adds yet another layer of complexity to the unfolding narrative of AI technologies.

Profile Image Robert Jackson

Source of the news:   CNET

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