It still can’t count the Rs in strawberry, I’m not worried.
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It still can’t count the Rs in strawberry, I’m not worried.
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[email protected]replied to [email protected] last edited by
Is this some meme?
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[email protected]replied to [email protected] last edited by
No. It literally cannot count the number of R letters in strawberry. It says 2, there are 3. ChatGPT had this problem, but it seems it is fixed. However if you say “are you sure?” It says 2 again.
Ask ChatGPT to make an image of a cat without a tail. Impossible. Odd, I know, but one of those weird AI issues
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[email protected]replied to [email protected] last edited by
Because there aren't enough pictures of tail-less cats out there to train on.
It's literally impossible for it to give you a cat with no tail because it can't find enough to copy and ends up regurgitating cats with tails.
Same for a glass of water spilling over, it can't show you an overfilled glass of water because there aren't enough pictures available for it to copy.
This is why telling a chatbot to generate a picture for you will never be a real replacement for an artist who can draw what you ask them to.
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[email protected]replied to [email protected] last edited by
Oh, that’s another good test. It definitely failed.
There are lots of Manx photos though.
Manx images: https://duckduckgo.com/?q=manx&iax=images&ia=images
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[email protected]replied to [email protected] last edited by
Not really it's supposed to understand what a tail is, what a cat is, and which part of the cat is the tail. That's how the "brain" behind AI works
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[email protected]replied to [email protected] last edited by
I mean I tested it out, even tbough I am sure your trolling me and DeepSeek correctly counts the R's
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[email protected]replied to [email protected] last edited by
Not trolling you at all:
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[email protected]replied to [email protected] last edited by
Non thinking prediction models can't count the r's in strawberry due to the nature of tokenization.
However openai o1 and deep seek r1 can both reliably do it correctly
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[email protected]replied to [email protected] last edited by
Yes it can
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[email protected]replied to [email protected] last edited by
Screenshots please
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[email protected]replied to [email protected] last edited by
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[email protected]replied to [email protected] last edited by
It searches the internet for cats without tails and then generates an image from a summary of what it finds.
That's how this Machine Learning progam works
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[email protected]replied to [email protected] last edited by
Clearly not the first try
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[email protected]replied to [email protected] last edited by
“Again” so it failed the first time. Got it.
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[email protected]replied to [email protected] last edited by
It didn't, I just wanted a short reply. Though it failed when I asked again at the same chat. But when asked to split the word to 2 parts it became sure that the correct answer is 3.
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[email protected]replied to [email protected] last edited by
That’s a lot of processing just to count letters. Hopefully it can add numbers without splitting the number
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[email protected]replied to [email protected] last edited by
so.... with all the supposed reasoning stuff they can do, and supposed "extrapolation of knowledge" they cannot figure out that a tail is part of a cat, and which part it is.
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[email protected]replied to [email protected] last edited by
That isn't at all how something like a diffusion based model works actually.