Metaculus

Elon Musk

Yoshua Bengio

Demis Hassabis

Melanie Mitchell

Stuart Russell

Sam Altman

Dario Amodei

Geoffrey Hinton

Yann LeCun

Gary Marcus

Max Tegmark

Shane Legg

Society is more likely to get "cat-level" or "dog-level" AI years before human-level AI.

"[W]e will eventually reach AGI... and quite possibly before the end of this century."

"Superhuman AIs" will be achieved "between a few years and a couple of decades."

"Digital intelligence" could overtake us within "5 to 20 years."

We may achieve "something like AGI or AGI-like in the next decade."

"[W]e could get to real AGI in the next decade."

"Human-level" AI could occur in "two or three years."

"I'd be surprised if we don't have AGI by [2029]."

Will AI Surpass Human Intelligence, and When?

Marc Benioff

Upstox

The Leaders Globe Magazine

Nismah Zafar

Nish Kotecha

Chris Taylor

William Falcon

Quanrio

Carl Franzen

"Can you replace OpenAI’s Chat GPT with DeepSeek, an open-source platform, for only $6 million? The answer is no you can’t."

"I believe that while DeepSeek-R1's achievements are noteworthy, it's not time to dismiss ChatGPT."

"DeepSeek might not aim to completely replace ChatGPT."

"By the end of January 2025, DeepSeek had overtaken ChatGPT as the most downloaded free app on the Apple App Store in the US."

Charlotte Edmond

"After all this [the rise of DeepSeek's AI capabilities], one thing is clear: No throne is safe, not even for ChatGPT."

"Open source models [DeepSeek] are surpassing closed ones [ChatGPT]."

DeepSeek's "immense capabilities surpass rivals like Open AI's ChatGPT, Google's Gemini, and Meta AI's Llama."

"ChatGPT's fall from grace could arguably happen faster than its ascendency in 2022."

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.

TechSpot

Tweaktown

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.

Futurism

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.

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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

Tom's Hardware

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.

The Register

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.

Metaculus #0

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

Futurism #

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

Tom's Hardware #

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 Register #

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

TechSpot #

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.

ChatGPT

Chap claims Atari 2600 beat ChatGPT at chess

Artificial Intelligence

Atari 2600 Chess Game Defeats ChatGPT in Surprising Match

Games

Science & technology

Sports

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

ChatGPT gets crushed at chess by a 1 MHz Atari 2600

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

Edmond

LeCun

Upstox

Taylor

Go Deeper

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