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[-] untakenusername@sh.itjust.works 2 points 6 days ago

this is because an LLM is not made for playing chess

[-] Objection@lemmy.ml 82 points 1 week ago

Tbf, the article should probably mention the fact that machine learning programs designed to play chess blow everything else out of the water.

[-] bier@feddit.nl 33 points 1 week ago

Yeah its like judging how great a fish is at climbing a tree. But it does show that it's not real intelligence or reasoning

[-] 13igTyme@lemmy.world 13 points 1 week ago

Don't call my fish stupid.

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[-] Zenith@lemm.ee 15 points 1 week ago

I forgot which airline it is but one of the onboard games in the back of a headrest TV was a game called “Beginners Chess” which was notoriously difficult to beat so it was tested against other chess engines and it ranked in like the top five most powerful chess engines ever

[-] andallthat@lemmy.world 13 points 1 week ago* (last edited 1 week ago)

Machine learning has existed for many years, now. The issue is with these funding-hungry new companies taking their LLMs, repackaging them as "AI" and attributing every ML win ever to "AI".

ML programs designed and trained specifically to identify tumors in medical imaging have become good diagnostic tools. But if you read in news that "AI helps cure cancer", it makes it sound like it was a lone researcher who spent a few minutes engineering the right prompt for Copilot.

Yes a specifically-designed and finely tuned ML program can now beat the best human chess player, but calling it "AI" and bundling it together with the latest Gemini or Claude iteration's "reasoning capabilities" is intentionally misleading. That's why articles like this one are needed. ML is a useful tool but far from the "super-human general intelligence" that is meant to replace half of human workers by the power of wishful prompting

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[-] NeilBru@lemmy.world 76 points 1 week ago* (last edited 1 week ago)

An LLM is a poor computational/predictive paradigm for playing chess.

[-] surph_ninja@lemmy.world 29 points 1 week ago

This just in: a hammer makes a poor screwdriver.

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[-] Takapapatapaka@lemmy.world 11 points 1 week ago

Actually, a very specific model (chatgpt3.5-turbo-instruct) was pretty good at chess (around 1700 elo if i remember correctly).

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[-] AlecSadler@sh.itjust.works 65 points 1 week ago

ChatGPT has been, hands down, the worst AI coding assistant I've ever used.

It regularly suggests code that doesn't compile or isn't even for the language.

It generally suggests AC of code that is just a copy of the lines I just wrote.

Sometimes it likes to suggest setting the same property like 5 times.

It is absolute garbage and I do not recommend it to anyone.

[-] j4yt33@feddit.org 17 points 1 week ago

I find it really hit and miss. Easy, standard operations are fine but if you have an issue with code you wrote and ask it to fix it, you can forget it

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[-] nednobbins@lemm.ee 49 points 1 week ago

Sometimes it seems like most of these AI articles are written by AIs with bad prompts.

Human journalists would hopefully do a little research. A quick search would reveal that researches have been publishing about this for over a year so there's no need to sensationalize it. Perhaps the human journalist could have spent a little time talking about why LLMs are bad at chess and how researchers are approaching the problem.

LLMs on the other hand, are very good at producing clickbait articles with low information content.

[-] nova_ad_vitum@lemmy.ca 24 points 1 week ago

Gotham chess has a video of making chatgpt play chess against stockfish. Spoiler: chatgpt does not do well. It plays okay for a few moves but then the moment it gets in trouble it straight up cheats. Telling it to follow the rules of chess doesn't help.

This sort of gets to the heart of LLM-based "AI". That one example to me really shows that there's no actual reasoning happening inside. It's producing answers that statistically look like answers that might be given based on that input.

For some things it even works. But calling this intelligence is dubious at best.

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[-] Halosheep@lemm.ee 49 points 1 week ago

I swear every single article critical of current LLMs is like, "The square got BLASTED by the triangle shape when it completely FAILED to go through the triangle shaped hole."

[-] drspod@lemmy.ml 42 points 1 week ago

It's newsworthy when the sellers of squares are saying that nobody will ever need a triangle again, and the shape-sector of the stock market is hysterically pumping money into companies that make or use squares.

[-] inconel@lemmy.ca 18 points 1 week ago

It's also from a company claiming they're getting closer to create morphing shape that can match any hole.

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[-] floofloof@lemmy.ca 45 points 1 week ago* (last edited 1 week ago)

I suppose it's an interesting experiment, but it's not that surprising that a word prediction machine can't play chess.

[-] otp@sh.itjust.works 16 points 1 week ago

Because people want to feel superior because they ~~don't know how to use a ChatBot~~ can count the number of "r"s in the word "strawberry", lol

[-] electricyarn@lemmy.world 15 points 1 week ago

Yeah, just because I can't count the number of r's in the word strawberry doesn't mean I shouldn't be put in charge of the US nuclear arsenal!

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[-] MonkderVierte@lemmy.zip 40 points 1 week ago

LLM are not built for logic.

[-] PushButton@lemmy.world 19 points 1 week ago

And yet everybody is selling to write code.

The last time I checked, coding was requiring logic.

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[-] anubis119@lemmy.world 36 points 1 week ago

A strange game. How about a nice game of Global Thermonuclear War?

[-] ada@piefed.blahaj.zone 17 points 1 week ago

No thank you. The only winning move is not to play

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[-] Lembot_0003@lemmy.zip 29 points 1 week ago

The Atari chess program can play chess better than the Boeing 747 too. And better than the North Pole. Amazing!

[-] CarbonatedPastaSauce@lemmy.world 19 points 1 week ago

Neither of those things are marketed as being artificially intelligent.

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[-] Furbag@lemmy.world 28 points 1 week ago

Can ChatGPT actually play chess now? Last I checked, it couldn't remember more than 5 moves of history so it wouldn't be able to see the true board state and would make illegal moves, take it's own pieces, materialize pieces out of thin air, etc.

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[-] cley_faye@lemmy.world 24 points 1 week ago

Ah, you used logic. That's the issue. They don't do that.

[-] arc99@lemmy.world 22 points 1 week ago

Hardly surprising. Llms aren't -thinking- they're just shitting out the next token for any given input of tokens.

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[-] vane@lemmy.world 15 points 1 week ago

It's not that hard to beat dumb 6 year old who's only purpose is mine your privacy to sell you ads or product place some shit for you in future.

[-] capuccino@lemmy.world 14 points 1 week ago
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[-] jsomae@lemmy.ml 13 points 1 week ago

Using an LLM as a chess engine is like using a power tool as a table leg. Pretty funny honestly, but it's obviously not going to be good at it, at least not without scaffolding.

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[-] seven_phone@lemmy.world 12 points 1 week ago

You say you produce good oranges but my machine for testing apples gave your oranges a very low score.

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[-] Endymion_Mallorn@kbin.melroy.org 12 points 1 week ago

I mean, that 2600 Chess was built from the ground up to play a good game of chess with variable difficulty levels. I bet there's days or games when Fischer couldn't have beaten it. Just because a thing is old and less capable than the modern world does not mean it's bad.

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this post was submitted on 09 Jun 2025
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