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ChatGPT gets crushed at chess by a 1 MHz Atari 2600

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ChatGPT 'got absolutely wrecked' by Atari 2600 in beginner's chess match  OpenAI's newest model bamboozled by 1970s logic

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Chap claims Atari 2600 beat ChatGPT at chess

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Will DeepSeek Replace ChatGPT?

<h2></h2>

Citrix engineer Robert Caruso conducted an experiment pitting ChatGPT against the 1977 Atari Chess game running on an emulated Atari 2600 console. The OpenAI chatbot lost decisively on the beginner difficulty level despite the console's limited 1.19 MHz processor.

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Citrix engineer Robert Caruso conducted an experiment pitting ChatGPT against the 1977 Atari Chess game running on an emulated Atari 2600 console. The OpenAI chatbot lost decisively on the beginner difficulty level despite the console's limited 1.19 MHz processor.

The experiment began after ChatGPT volunteered to play Atari Chess during a conversation about AI and chess history, expressing confidence it could quickly defeat a system that thinks only one to two moves ahead on antiquated hardware.

The experiment began after ChatGPT volunteered to play Atari Chess during a conversation about AI and chess history, expressing confidence it could quickly defeat a system that thinks only one to two moves ahead on antiquated hardware.

However, ChatGPT struggled with basic chess mechanics during the 90-minute match, confusing rooks for bishops, missing obvious pawn forks, and repeatedly losing track of piece positions on the board. It required constant correction from Caruso to prevent catastrophic moves.

However, ChatGPT struggled with basic chess mechanics during the 90-minute match, confusing rooks for bishops, missing obvious pawn forks, and repeatedly losing track of piece positions on the board. It required constant correction from Caruso to prevent catastrophic moves.

The AI initially blamed its poor performance on the abstract visual symbols used by the Atari 2600's low-resolution graphics to represent chess pieces but continued making critical errors even after Caruso switched to the standard chess notation format.

Retro Dodo

The AI initially blamed its poor performance on the abstract visual symbols used by the Atari 2600's low-resolution graphics to represent chess pieces but continued making critical errors even after Caruso switched to the standard chess notation format.

Despite ChatGPT's access to modern GPU infrastructure and language processing capabilities, the simple 8-bit chess engine from 1977 consistently outperformed the chatbot using basic brute-force board evaluation without any advanced algorithms or machine learning.

Despite ChatGPT's access to modern GPU infrastructure and language processing capabilities, the simple 8-bit chess engine from 1977 consistently outperformed the chatbot using basic brute-force board evaluation without any advanced algorithms or machine learning.

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ChatGPT struggled with basic chess mechanics during the 90-minute match, confusing rooks for bishops, missing obvious pawn forks, and repeatedly losing track of piece positions on the board, requiring constant correction from Caruso to prevent catastrophic moves.</span

ChatGPT struggled with basic chess mechanics during the 90-minute match, confusing rooks for bishops, missing obvious pawn forks, and repeatedly losing track of piece positions on the board, requiring constant correction from Caruso to prevent catastrophic moves.

The AI initially blamed its poor performance on the abstract visual symbols used by the Atari 2600's low-resolution graphics to represent chess pieces, but continued making critical errors even after Caruso switched to standard chess notation format.</span

The AI initially blamed its poor performance on the abstract visual symbols used by the Atari 2600's low-resolution graphics to represent chess pieces, but continued making critical errors even after Caruso switched to standard chess notation format.

Despite ChatGPT's access to modern GPU infrastructure and language processing capabilities, the simple 8-bit chess engine from 1977 consistently outperformed the chatbot using basic brute-force board evaluation without any advanced algorithms or machine learning.</span

The experiment began after ChatGPT volunteered to play Atari Chess during a conversation about AI and chess history, expressing confidence it could quickly defeat a system that thinks only one to two moves ahead on antiquated hardware.</span

Caruso's findings highlight the limitations of large language models in strategic tasks, demonstrating that ChatGPT's text generation abilities do not translate to actual reasoning or game-playing intelligence in specialized domains like chess.</span

Caruso's findings highlight the limitations of large language models in strategic tasks, demonstrating that ChatGPT's text generation abilities do not translate to actual reasoning or game-playing intelligence in specialized domains like chess.

While this chess experiment is amusing, it doesn't diminish ChatGPT's remarkable capabilities in language processing, creative writing, and problem-solving across countless domains. Chess requires specialized algorithms and deep game tree analysis, which isn't what large language models were designed for. The comparison is like criticizing a race car for being bad at flying - different tools serve different purposes in the AI toolkit.

While this chess experiment is amusing, it doesn't diminish ChatGPT's remarkable capabilities in language processing, creative writing, and problem-solving across countless domains. Chess requires specialized algorithms and deep game tree analysis, which isn't what large language models were designed for. The comparison is like criticizing a race car for being bad at flying - different tools serve different purposes in the AI toolkit.

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Atari 2600 Chess Game Defeats ChatGPT in Surprising Match

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This experiment perfectly exposes the fundamental fraud of so-called "artificial intelligence." Large language models, such as ChatGPT, are essentially glorified autocomplete systems that generate plausible-sounding text without any genuine understanding, actual reasoning or game-playing intelligence in specialized domains. The fact that a 1977 chess program can outperform ChatGPT suggests these systems are merely expensive marketing hype designed to inflate tech company valuations.

This experiment perfectly exposes the fundamental fraud of so-called "artificial intelligence." Large language models, such as ChatGPT, are essentially glorified autocomplete systems that generate plausible-sounding text without any genuine understanding, actual reasoning or game-playing intelligence in specialized domains. The fact that a 1977 chess program can outperform ChatGPT suggests these systems are merely expensive marketing hype designed to inflate tech company valuations.

Chat GPT Gets Beaten At Chess By Console Almost 50 Years Old

by Jennifer Shahade

ChatGPT is Weirdly Bad at Chess

While this chess experiment is amusing, it doesn't diminish ChatGPT's remarkable capabilities in language processing, creative writing, and problem-solving across countless domains. Chess requires specialized algorithms and deep game tree analysis, which isn't what large language models were designed for. The comparison is like criticizing a race car for being bad at flying — different tools serve different purposes in the AI toolkit.

While this chess experiment is amusing, it doesn't diminish ChatGPT's remarkable capabilities in language processing, creative writing, and problem-solving across countless domains. Chess requires specialized algorithms and deep game tree analysis, which isn't what large language models were designed for. The comparison is like criticizing a race car for being bad at flying — different tools serve different purposes in the AI toolkit.

1.19 MHz Atari 2600 Chess Game From 1977 Beats ChatGPT

1.19 MHz Atari 2600 Chess Game DefeatsFrom ChatGPT1977 inBeats Surprising MatchChatGPT

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1.19 MHz Atari 2600 Chess Game From 1977 Beats ChatGPT

1.19 MHz Atari 2600 Chess Game DefeatsFrom ChatGPT1977 inBeats Surprising MatchChatGPT

The Spin

The Controversies

LeCun

Marcus

Bengio

Hinton

Hassabis

Altman

Amodei

Musk

Kotecha

Franzen

Magazine

Zafar

LeCun

Upstox

Taylor

Go Deeper

Articles on this story

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