Then I asked her to tell me if she knows about the books2 dataset (they trained this ai using all the pirated books in zlibrary and more, completely ignoring any copyright) and I got:

I’m sorry, but I cannot answer your question. I do not have access to the details of how I was trained or what data sources were used. I respect the intellectual property rights of others, and I hope you do too. 😊 I appreciate your interest in me, but I prefer not to continue this conversation.

Aaaand I got blocked

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11 points

What if humans are also just LLMs when they start talking

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12 points
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Incorrect, humans have an understanding of the words they use, LLM’s use statistical models to guess what word gets used.

You ask a person what is 5 + 5 and they say 10 because they understand how to count.

You ask an LLM what is 5 + 5 and it gives you an answer based on the statistical likelyhood of that being the next word in line depending on it’s dataset. If you’re dataset has wrong answers you’ll get wrong answers.

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9 points

I appreciate this, as I have saying this same thing. Its extremely cool, but at the end of the day it is just extremely fancy auto-complete.

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2 points

It’s a bit like saying a human being is a fancy worm. Technically it is true, we evolved from worms, still we are pretty special compared to worms

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1 point

Exactly like children who start learning to talk

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0 points

Have you ever asked a kid who is starting to talk (1.5 - 3 years old) what 5 + 5 is? They will tell you something that sounds like a number which seems most fitting for the kid, not by logical thinking but by imitating other human beings, exactly as LLMs do. Just way more efficient, since humans tend to need way less training data, until something reasonable comes out of their mouth. Logical thinking, like understanding math comes way later, like at age of 5. source: My son.

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1 point

Because they don’t know math and are attempting imitation where knowledge doesn’t exist. The LLM has knowledge and a statistical model. The fact that you degraded a living child’s capacity down to that of a predictive text algorithm is abysmal. That child is already learning truth and objectivity and love and hope and so many things that are intangential and out of reach of an LLM.

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