Elo 1400 seems to equate to a top 30% player. Source: https://chessgrandmonkey.com/chess-rating-percentile-calcula...
Intuitively, I would guess 1400 is the rating of an average kid who spent a year studying chess seriously.
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Elo 1400 seems to equate to a top 30% player. Source: https://chessgrandmonkey.com/chess-rating-percentile-calcula...
Intuitively, I would guess 1400 is the rating of an average kid who spent a year studying chess seriously.
Not to nitpick but I don't think it can be said to be able to play chess when it also makes illegal moves.
Earlier quoted context omitted.
It doesn't remember exact moves, it remembers patterns of moves and continues those. That is why it so easily makes illegal moves, because the patterns doesn't have anything to do with board state.
Again, not enough for 1400. 800 maybe.
Just like grammar the patterns are too hard for humans to see and encode, but LLMs can encode pretty complex patterns. Domains that are easy to encode as grammars will be really easy for LLMs to solve, and the further from a grammar the harder for it.
Most likely it has seen a similar sequence of moves in its training set. There are numerous chess sites with databases displayed in the form of web pages with millions of games in them. If it had any understanding of chess, it would never play an illegal move. It's not surprising that given a sequence of algebraic notation it can regurgitate the next move in a similar sequence of algebraic notation.
> Most likely it has seen a similar sequence of moves in its training set. Wouldn't we expect a much higher rate of illegal moves if that was the case?
Not to nitpick but I don't think it can be said to be able to play chess when it also makes illegal moves.
Ask him to play at a higher Elo.
It's already been told to play like a grandmaster, how much higher do you want to go?
[0] https://saintlouischessclub.org/blog/how-face-super-grandmas...
Earlier quoted context omitted.
You don’t get to 1400 like that. The amount of moves it has to literally remember is stupendous.
Nobody who is 1400 plays outright illegal moves.
It is difficult to say that is not impressive due to it being an emergent ability.
Earlier quoted context omitted.
You don’t get to 1400 like that. The amount of moves it has to literally remember is stupendous.
It doesn't remember exact moves, it remembers patterns of moves and continues those. That is why it so easily makes illegal moves, because the patterns doesn't have anything to do with board state.
Why not just introduce AlphaGo as an API that can be used by chatGPT? So every time you want to do a this type of gaming, you just send a request. I mean, chatGPT sends a request to AlphaGo, but as a user you don't know actually what's happening. But in the background, it happens really fast, so it's just like you are chatting with chatGPT, but using much, much powerful tool to do this kind of things.
That kinda defeats the purpose. Of course you can use AlphaGo, but the question here is – can a generative AI teach itself to play chess (and do a million other similar generic tasks) when given no specific training for it.
Most likely it has seen a similar sequence of moves in its training set. There are numerous chess sites with databases displayed in the form of web pages with millions of games in them. If it had any understanding of chess, it would never play an illegal move. It's not surprising that given a sequence of algebraic notation it can regurgitate the next move in a similar sequence of algebraic notation.
Is this a joke making fun of the common way people dismiss other ChatGPT successes? This makes no sense with respect to chess, because every game is unique, and playing a move from a different game in a new game is nonsensical.