10 points

The thing that I find the most funny about this post, is the fact that you call this Italian

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5 points

how am i supposed to know how italians speak. i’ve never seen one

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2 points

They’re not real, but they can hurt you.

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1 point

Ne sei sicuro?

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2 points

From my experience, they speak mostly with their hands

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4 points

🫰🤙🫵👌✊🫳🫸🤲🤌

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2 points

Typical 'muricans being unable to comprehend anything besides English.

/s i don't mean to be racist

yes i was a r/2we4u user, how’d you know?

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1 point
*
Deleted by creator
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0 points

Blud I’m gonna be fr no cap rn but wtf does blud mean I’ve been meaning to ask for months and I still don’t get it

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2 points
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Deleted by creator
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0 points

Needs more fam

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5 points

This might be happening because of the ‘elegant’ (incredibly hacky) way openai encodes multiple languages into their models. Instead of using all character sets, they use a modulo operator on each character, to make all Unicode characters represented by a small range of values. On the back end, it somehow detects which language is being spoken, and uses that character set for the response. Seeing as the last line seems to be the same mathematical expression as what you asked, my guess is that your equation just happened to perfectly match some sentence that would make sense in the weird language.

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4 points

Do you have a source for that? Seems like an internal detail a corpo wouldn’t publish

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1 point

Can’t find the exact source–I’m on mobile right now–but the code for the gpt-2 encoder uses a utf-8 to unicode look up table to shrink the vocab size. https://github.com/openai/gpt-2/blob/master/src/encoder.py

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2 points

Seriously? Python for massive amounts of data? It’s a nice scripting language, but it’s excruciatingly slow

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1 point

I suppose it’s conceivable that there’s a bug in converting between different representations of Unicode, but I’m not buying and of this “detected which language is being spoken” nonsense or the use of character sets. It would just use Unicode.

The modulo idea makes absolutely no sense, as LLMs use tokens, not characters, and there’s soooooo many tokens. It would make no sense to make those tokens ambiguous.

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1 point

I completely agree that it’s a stupid way of doing things, but it is how openai reduced the vocab size of gpt-2 & gpt-3. As far as I know–I have only read the comments in the source code– the conversion is done as a preprocessing step. Here’s the code to gpt-2: https://github.com/openai/gpt-2/blob/master/src/encoder.py I did apparently make a mistake, as the vocab reduction is done through a lut instead of a simple mod.

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4 points

Let me simplify it: proceeds to print the same expression

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3 points
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Typical AI behavior

Edit: and then it will gaslight you if you say the answer is the same.

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4 points

Fucking hate when do that.

You are repeating the same mistake.

I’m sorry for repeating the same mistake, here’s a new solution with corrections *proceed to write the exactly thing already told it was wrong*

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1 point

Nope, they replaced an asterisk with an arrow!

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3 points

Which language uses these signs? It truly looks like some kind of alien language

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4 points
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Glagolitic script. Oldest known Slavic alphabet according to Wikipedia.

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1 point
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Deleted by creator
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1 point

APL?

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2 points

Ah, I see you’re using FartGPT instead of ChatGPT

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2 points

French pronunciation intensifies

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1 point

Cat, I farted.

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1 point

is that the new model ?

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