I’m sorry, but you don’t know what artificial intelligence is. ChatGPT is a generative pretrained transformer (GPT) is a type of transformer model is a deep learning architecture is a type of machine learning is a branch of artificial intelligence (where, for context, the other branch of AI is of a fixed programming, like an opponent in Video Chess for Atari).
You don’t have to like that the field is called AI; you do have to acknowledge it’s been called that since 1957 (just a year after Logic Theorist) and that LLMs objectively fit squarely within said field.
what the hell is this? nested recursive definitions? contaminated contexts? circular logic? ‘it is what it is because of what it’s called just like other things that have nothing to do with this being miss labeled for profit.’
what the hell is this? nested recursive definitions?
It’s called a tree. AI is the root of the tree. Thought that was made extremely obvious. Let me know if you still don’t get it, and I can link you to some reading material.
but you are attempting to have a conversation with people. so you should probably prioritize coherency. and claiming that llm’s are AI just like video game characters defeats your point. you are ignoring the main reason people have issue with naming such things AI. is that it’s a marketing term used to falsely imply a capability and quality llm’s fo not and can not have, for profit. and if you are going to argue that point you will need to define the word “literal”
I did. You specifically apparently just didn’t understand.
and claiming that llm’s are AI just like video game characters defeats your point.
They are within the same tree. You again just don’t understand the structure of the field and its subfields. I’m going to repeat myself with some additional context, and if you still can’t understand, that’s on you:
Artificial intelligence (AI) is the root of the tree. The term was coined in 1957 and has stuck with the field ever since. Artificial intelligence comprises two branches: statically programmed AI like, again, a Video Chess AI, and machine learning models. You’ll be unsurprised to hear that, in 2026, the focus of the field is on machine learning.
Machine learning (ML), designed to improve itself via statistical processes, can be divided roughly into another two branches: classical machine learning and deep learning.
Deep learning uses multilayered neural networks to identify its own features, whereas classical ML is differentiated by needing features identified for it.
A transformer model is a newer, heavily parallelized deep learning model that, unlike a recurrent neural network (RNN, a type of traditional deep learning model that works on arbitrary-sized inputs and outputs), is strictly feedforward.
A generative pretrained transformer (GPT) is a type of transformer that’s… pretrained and generative. I’ll bet that definition blew your mind; it blew mine. Utterly crazy.
And lastly, you’ll be unsurprised to hear that ChatGPT is a GPT.
Work your way back up the tree, and you’ll see that GPTs fit squarely into AI. (In this case, an LLM can be a lot of different kinds of models, but in 2026, these are typically transformer models like GPTs and another I didn’t mention called BERTs. “LLM” just means any machine learning model trained on a huge text corpus.)
your argument is still curricular, ‘it’s is what it is because it is called that’ you have complete ignored the context of the complaint and the reason.
by retreating to an overbroad definition of AI coined by deceptive marketing to attach computer chess to the science fiction concept of a thinking machine that achieves agency and conception, for money, you have forfeited the point that llm’s are glorified auto complete.
i would not be so crass as to argue that llms are just glorified auto correct as a truth, but an LLM is not capable of agency, and is not capable of true understanding, it is a clever design of tokenizing data and assigning connections of these data points. but that is not agency nor understanding, and it does generate its responses using similar tools to auto complete governed by these connections.
you took a posters flippant disdain for LLM’s and ignored his actual point in its misclassification as a means to trick people into thinking it’s akin to magic personhood. and when called out you resorted to claiming you are technically right because an active flow chart can be called an AI.
I’m sorry, but “I’m sorry” is not how you start a sentence, unless you want everyone to know that you are not sorry (which you should be for starting a sentence like that).
I’m sorry, but you don’t know what artificial intelligence is. ChatGPT is a generative pretrained transformer (GPT) is a type of transformer model is a deep learning architecture is a type of machine learning is a branch of artificial intelligence (where, for context, the other branch of AI is of a fixed programming, like an opponent in Video Chess for Atari).
You don’t have to like that the field is called AI; you do have to acknowledge it’s been called that since 1957 (just a year after Logic Theorist) and that LLMs objectively fit squarely within said field.
what the hell is this? nested recursive definitions? contaminated contexts? circular logic? ‘it is what it is because of what it’s called just like other things that have nothing to do with this being miss labeled for profit.’
It’s called a tree. AI is the root of the tree. Thought that was made extremely obvious. Let me know if you still don’t get it, and I can link you to some reading material.
but you are attempting to have a conversation with people. so you should probably prioritize coherency. and claiming that llm’s are AI just like video game characters defeats your point. you are ignoring the main reason people have issue with naming such things AI. is that it’s a marketing term used to falsely imply a capability and quality llm’s fo not and can not have, for profit. and if you are going to argue that point you will need to define the word “literal”
I did. You specifically apparently just didn’t understand.
They are within the same tree. You again just don’t understand the structure of the field and its subfields. I’m going to repeat myself with some additional context, and if you still can’t understand, that’s on you:
Work your way back up the tree, and you’ll see that GPTs fit squarely into AI. (In this case, an LLM can be a lot of different kinds of models, but in 2026, these are typically transformer models like GPTs and another I didn’t mention called BERTs. “LLM” just means any machine learning model trained on a huge text corpus.)
your argument is still curricular, ‘it’s is what it is because it is called that’ you have complete ignored the context of the complaint and the reason.
by retreating to an overbroad definition of AI coined by deceptive marketing to attach computer chess to the science fiction concept of a thinking machine that achieves agency and conception, for money, you have forfeited the point that llm’s are glorified auto complete.
i would not be so crass as to argue that llms are just glorified auto correct as a truth, but an LLM is not capable of agency, and is not capable of true understanding, it is a clever design of tokenizing data and assigning connections of these data points. but that is not agency nor understanding, and it does generate its responses using similar tools to auto complete governed by these connections.
you took a posters flippant disdain for LLM’s and ignored his actual point in its misclassification as a means to trick people into thinking it’s akin to magic personhood. and when called out you resorted to claiming you are technically right because an active flow chart can be called an AI.
you can’t have it both ways
I’m sorry, but “I’m sorry” is not how you start a sentence, unless you want everyone to know that you are not sorry (which you should be for starting a sentence like that).
I’m sorry, but I don’t care.
Okay, but it’s still just a fancy autocomplete, predicting which text would come next if this was in the training data.