from my understanding, anybody please correct me if i'm wrong, ChatGPT can not really invent anything, it can just generate text based on probabilities obtained from the mountain of source documents used for training it. it does not think in the same way we do, it is just amazing at writing coherent phrases (and very simple code).
What does it mean to say that it can't invent anything? If, for example, I ask it to make a new poem with no line previously recorded in the english language it will do so. If I google that poem to test it's originality I won't find a match. It seems to me it just made something novel, right?
When humans write new literature, or design new games, are we simply remixing elements of language and game mechanics that we've seen before, or is there something more going on?
And how do we think exactly? Don't we have a brain trained on input (livable experience, knowledge from books, school, videos, conversations, etc) and generating text based on probabilities (weighted sets of neurons with weights built from that set)?
Yes, but the non magic square is inspired by the magic square and such games are everywhere. Just buy a random puzzle book and you find pages and pages of puzzles with "make the numbers add up to these columns and rows", because they are very easy to make.
Point about magic square is that every culture invents games like that, it is one of the most basic puzzle ideas humans have, I don't see how ChatGPT can't have that in its training set.
For someone trying to show that a chat bot could not possibly have generated this specific game on its own because it already exists, you kind of have to show that it already exists.
All that you’ve done is shown that similar types of puzzles exist. Which, I mean, is kind of the point of a generative AI.
“Games like this” exist. Does this specific game exist?
Much more advanced versions of it exists, and has existed for a long time, for example Kakuro is before computer games. Magic sum is just a special case of it. Finding a discussion with those exact rules are probably a bit hard, search engines aren't good at searching for that, but given how common these games are and how many game design discussions and ideas there are online, a game where "block out these numbers to make these sums" is surely to exist somewhere. The poster above even found the exact same game, although that wasn't described in text, but someone probably described it in text somewhere.
Once again, to show that’s one thing is blatantly copying another thing, you kind of have to show that thing exists already. Kakuro is also a similar game with its own unique rules that only somewhat overlap with this one.
It’s not enough to say “a lot of games with similar rules exist” and if anything, that just shows that a generative AI is good at what it does: break down the rules of a game and make modifications to make what is potentially a new game.
If you can show an example of this exact game having existed for centuries, then you have a point. But showing that magic squares and similar games exist… just shows that magic squares and similar games exist, not that the algorithm incorrectly said this is a new game.
The discussion was probability of ChatGPT having invented it, the probability that description for such a game is in ChatGPT's dataset is extremely high. We have examples of that exact game existing (the top post of this thread), and we know from my links that there are countless texts about puzzles like this out there, although they aren't exactly the same.
> It’s not enough to say “a lot of games with similar rules exist” and if anything, that just shows that a generative AI is good at what it does: break down the rules of a game and make modifications to make what is potentially a new game.
No it doesn't, even if that is the case it just shows that it adds random variations. Since we only see the trimmed subset of ideas it generates that people found good enough to post, the smart one is the person.
You would need to prove that ChatGPT actually consistently generates working puzzle ideas that are novel to convince anyone that it actually does so. Extraordinary claims require extraordinary evidence, so all I need to do is find plausible explanations to how ChatGPT found it, you would need much better evidence to convince people it actually did make a novel game.
> The discussion was probability of ChatGPT having invented it, the probability that description for such a game is in ChatGPT's dataset is extremely high.
If this were the case, it would have been trivial for you to find a game with its written rules described and which match the one generated.
You have done nothing but say that is the case. You haven’t actually proven that’s the case.
ChatGPT can’t magically infer the rules of the game from screenshots, and you have only shown that similar games exist and have existed for centuries. But that is not the same as saying that this specific game has and that ChatGPT just pulled it out of its dataset.
That is the extraordinary claim that you don’t have evidence for but are acting like it’s right there obviously out in the open for everyone to see.
> If this were the case, it would have been trivial for you to find a game with its written rules described and which match the one generated.
Search engines doesn't work like that. You are basically asking me the equivalent of proving that a photo isn't depicting a ghost. No, I can't prove that, I can however come up with examples showing how the photo could have been created even if it wasn't a ghost.
If you want to prove that ghosts are real you need plenty of photos from lots of angles and situations, or videos, and from many sources to show that it isn't all made up by a single person. The equivalent of that would be if they had made ChatGPT generate 100 different working games for example, that would be much more believable. But a single case of a game that already exists and has countless texts describing similar games? It just looks like random chance that got handpicked or plagiarism.
This isn't a court trial, I am not going to sue ChatGPT for plagiarism here, it is just a discussion whether it is reasonable to believe ChatGPT can generate novel puzzle games.
Edit: But do note that since ChatGPT can find such ideas that are hard to find with a search engine, that makes ChatGPT very useful in a way search engines aren't. So I am not saying it doesn't add value. Just that people seem to say ChatGPT does a lot of thing that it doesn't seem to be able to do.
Edit again:
> That is the extraordinary claim that you don’t have evidence for but are acting like it’s right there obviously out in the open for everyone to see.
Yes, you think it is obvious that ChatGPT is capable of very creative and productive thinking. But most people don't think that, to them that is an extraordinary claim. I'm not here to convince you, I'm here to explain to you why you aren't convincing anyone with what you say. People like you were convinced by articles like this before the discussion even began.
> Search engines doesn't work like that. You are basically asking me the equivalent of proving that a photo isn't depicting a ghost. No, I can't prove that, I can however come up with examples showing how the photo could have been created even if it wasn't a ghost.
The claim was that it pulled the game out of its dataset. If this were the case, I would argue it would absolutely be trivial to find them. It’s not some concept that can’t be described in words or would be hard to quantify. The rules have been provided, and, assuming they were plagiarized from somewhere else, would be listed verbatim or close to it.
If a student plagiarized on their work, whether in written form or in code, it’s been trivially easy to find the exact work that was copied from. It generally takes me a few seconds of searching to find it.
This is the same. If these rules existed in a dataset, then it should be equally easy to pull them up and prove the plagiarism. If all you can find is similar puzzles, you can’t just throw your hands up and say “yep, gottem”. That’s just not how this works.
> The claim was that it pulled the game out of its dataset. If this were the case, I would argue it would absolutely be trivial to find them. It’s not some concept that can’t be described in words or would be hard to quantify. The rules have been provided, and, assuming they were plagiarized from somewhere else, would be listed verbatim or close to it.
ChatGPT uses word vectors, it wont use the same words but variants of the words. You can't search for that. Cases where word vectors only maps to single words with no variations for every word are very rare, so ChatGPT is very good at plagiarising things without reproducing exactly, it just rarely fails at it.
> If a student plagiarized on their work, whether in written form or in code, it’s been trivially easy to find the exact work that was copied from. It generally takes me a few seconds of searching to find it.
No it isn't, they just change the words and rewrites it until it no longer looks the same. ChatGPT is trained to rewrite texts like that to avoid triggering trivial plagiarism detectors. They train it to produce the same text, but with different words, producing exactly the same text is punished.
> No it isn't, they just change the words and rewrites it until it no longer looks the same. ChatGPT is trained to rewrite texts like that to avoid triggering trivial plagiarism detectors. They train it to produce the same text, but with different words, producing exactly the same text is punished.
Do you think students plagiarizing don’t do the exact same thing? Clearly someone has never actually dealt with plagiarized work. This is plagiarizing 101. The structure remains the same even if they use synonyms. Considering it’s trivially easy to find in code which is magnitudes harder to pull off, I would still argue it should be easy as pie to find this supposed set of rules.
Your point is not very credible without proof of this game existing and ChatGPT pulling it from this source. Without showing this supposed proto-game having existed with rules the ChatGPT can pull from, then all you’ve done is wave your hands around and yelled “similar games exist so this can’t possibly be uniquely generated” and that’s not a very compelling argument.
> Do you think students plagiarizing don’t do the exact same thing? Clearly someone has never actually dealt with plagiarized work. This is plagiarizing 101. The structure remains the same even if they use synonyms.
You rewrite the structure of the text, you don't just use synonyms. ChatGPT is capable of rewriting text to a different structure while keeping the meaning, I hope you are aware of that.
Anyway, even if you just change the words to synonyms it wont be easy to find in a search engine. Search engines aren't very good at finding matches to synonyms. Google tries, but in doing so they fail to find more specific texts like scientific publications or documentation, so no search engines aren't good at finding plagiarism.
Edit: And you make it sound like most plagiarism is found. No, that isn't the case, most plagiarism is not found out because it is a very hard problem to solve. Only the most blatant cases are caught. For humans that is reasonable, for AI we can be stricter since there isn't a humans career at stake.
> Anyway, even if you just change the words to synonyms it wont be easy to find in a search engine.
Got it, so you’ve never actually dealt with plagiarized work. You should have just led with that.
I have literally said, from actual experience, that this is the case. But I guess discarding that and pretending it was never said and that the opposite is true is I’m sure an easier position to hold.
Do you believe you never missed any plagiarised work examples? You caught some people doing X, and then you declare that catching people who do X is trivial. But plenty of people get away with doing X so we know that it isn't easy to catch.
For students they are probably easier to catch since they use the same tools you do, they use a search engine to find an article and plagiarises that. But ChatGPT takes deep discussions from reddit or stack overflow, I can't find those with a search engine.
If it’s as blatant as copying the entire game, you’d think it would be easier for you to find the game it copied. By your own account, this is an example of an obvious case of plagiarism. You were dead set on it, 100% sure.
Yet here we are. Dozen comments later and still no written set of rules produced which definitively shows that it was copied.
Come back when you actually have that and maybe we can continue this conversation.
> But ChatGPT takes deep discussions from reddit or stack overflow, I can't find those with a search engine.
Where do you think the answers come from? It’s not like Google has a massive index island around Reddit and SO.
I tend to exaggerate my claims a bit, yes. But you exaggerate your claims as well, for example you claim that if it had copied the rules it would be easy to find an example, that isn't true at all. Many examples of plagiarism goes unnoticed for years, until someone who is familiar with the original work points it out. I know examples where the person was found out during his thesis defence, he had plagiarised his entire PhD work from papers in another language and nobody noticed until years later, not even all the peer reviewers of the papers.
So maybe these rules are described in Japanese? Most similar games comes from Japan, Kakuro, Sudoku etc. Would your plagiarism detection method of Googling it find a Japanese source? I doubt it. But ChatGPT transcends language barriers, it can translate to English just fine.
Being briefly mentioned in the dataset would not really help it, because it doesn't "remember" the entirety of the dataset anyway. It would have to be something described repeatedly in the training inputs for ChatGPT to really remember the rules with this level of precision.
One game I can think of being very similar, is a game within a game. Dungeons & Diagrams puzzle within Last Call BBS [0]. In that game you can place or remove walls for them to add up to the numbers shown per row/column. That game has another layer of strategy built on top, as there are certain "dungeon patterns" you could observe that would in theory guide you through completion. I myself haven't noticed any patterns when I've tried the game the first time, and just relied on the numbers shown. (Guess that's why I've only played 3-4 levels)
Sure, and then the next comment said that ChatGPT could have separately invented the game, to which the comment I replied to said that's impossible because the type of game is old and surely would have been written down and included in its corpus, which it then claimed it invented. The rest of the context matters.
ChatGPT can't deduce the rules of the game using the screenshots. They would need to be written somewhere for them to come out of its dataset. And so far, nobody has shown a game with the rules in a format that ChatGPT could consume.
Why is it so hard to believe that a generative AI generated this game from similar ones which exist? That is literally the purpose of it, after all.
Chatgpt should be able to cluster things and see were clusters could be, collect everything necessary for that theoretically cluster and the human could evaluate it.
There is no way, the game type is centuries old, you can read this giant wikipedia articles about games like this.
https://en.wikipedia.org/wiki/Magic_square
ChatGPT "inventing" this is like thinking it invented chess.