Not sure about all its filters being RL. Sometimes it seems to flag its output as inappropriate because of a single word (or none at all). Also it has asymmetric behavior, e.g. it will make a joke about men but refuse to make one about women
Competitors will remove the political correctness filters and become more prominent. A Chinese stable diffusion art site is already gaining traction, no filters.
How does GPT obtain its ability? Tracing emergent abilities of language models
81–90 of 205 posts
Re: How does GPT obtain its ability? Tracing emergent abilities of language models
#82Earlier quoted context omitted.
Doesn't seem to unreasonable to me. If I asked you "How old is Obama" and you had a data source which had the ages of every person, you don't need to know the answer from memory. Your reasoning tells you that to find out how old someone is you need to check the external resource and what to do with the info once you get it.
The required knowledge is around entity recognition, with "Obama" referring to the 44th POTUS, and not somebody else who happens to have the same surname (and there are multiple of them actually, at least 4 given his family).
Re: How does GPT obtain its ability? Tracing emergent abilities of language models
#83Not sure about all its filters being RL. Sometimes it seems to flag its output as inappropriate because of a single word (or none at all). Also it has asymmetric behavior, e.g. it will make a joke about men but refuse to make one about women
Probably because in today's age, making jokes about men is a-okay, but making jokes against women might be perceived as misogynist. Potential misandry is okay, by comparison.
Re: How does GPT obtain its ability? Tracing emergent abilities of language models
#84Earlier quoted context omitted.
Yes. GPT doesn't really deal in meanings. Much like autocomplete, it doesn't know what the end of a sentence will be when it starts it. If it randomly chooses different words at the start of a sentence, it may pretend to have a different belief by the end. In reality it doesn't have beliefs any more than a library does. It implicitly contains beliefs (since it's been trained on them) and it can imitate them, but whic…
I see. The assumption here is that one can simulate intelligence without formalizing the notion of meaning. (And if "meaning" is not defined, then the notion of "truth" is impossible to define either). Is my understanding correct?
Re: How does GPT obtain its ability? Tracing emergent abilities of language models
#85Earlier quoted context omitted.
Sometimes the meaning of the response is totally different. [ 4 days ago ] The son of my father, but not my brother. Who is he? If a person is the son of the speaker's father but is not the speaker's brother, then that person is the speaker's nephew. A nephew is the son of a person's sibling, so if the speaker's father has a son who is not the speaker's brother, that person is the speaker's nephew. For example, if th…
Yes. GPT doesn't really deal in meanings. Much like autocomplete, it doesn't know what the end of a sentence will be when it starts it. If it randomly chooses different words at the start of a sentence, it may pretend to have a different belief by the end. In reality it doesn't have beliefs any more than a library does. It implicitly contains beliefs (since it's been trained on them) and it can imitate them, but whic…
Re: How does GPT obtain its ability? Tracing emergent abilities of language models
#86Earlier quoted context omitted.
Yes. GPT doesn't really deal in meanings. Much like autocomplete, it doesn't know what the end of a sentence will be when it starts it. If it randomly chooses different words at the start of a sentence, it may pretend to have a different belief by the end. In reality it doesn't have beliefs any more than a library does. It implicitly contains beliefs (since it's been trained on them) and it can imitate them, but whic…
So if we asked GPT to write a book, it would be hallucinating a chain of words without sticking to any coherent plot. However, we could use a "multi-resolution" approach even with today's version of GPT: at the top level we ask it to write a brief plot for the entire novel, at the next level we'll use this plot as the context and ask to outlines sub-plots of the 3 books in our novel, at the third level we'll use the…
Re: How does GPT obtain its ability? Tracing emergent abilities of language models
#87Earlier quoted context omitted.
Yes. GPT doesn't really deal in meanings. Much like autocomplete, it doesn't know what the end of a sentence will be when it starts it. If it randomly chooses different words at the start of a sentence, it may pretend to have a different belief by the end. In reality it doesn't have beliefs any more than a library does. It implicitly contains beliefs (since it's been trained on them) and it can imitate them, but whic…
So if we asked GPT to write a book, it would be hallucinating a chain of words without sticking to any coherent plot. However, we could use a "multi-resolution" approach even with today's version of GPT: at the top level we ask it to write a brief plot for the entire novel, at the next level we'll use this plot as the context and ask to outlines sub-plots of the 3 books in our novel, at the third level we'll use the…
Re: How does GPT obtain its ability? Tracing emergent abilities of language models
#88Earlier quoted context omitted.
Sometimes the meaning of the response is totally different. [ 4 days ago ] The son of my father, but not my brother. Who is he? If a person is the son of the speaker's father but is not the speaker's brother, then that person is the speaker's nephew. A nephew is the son of a person's sibling, so if the speaker's father has a son who is not the speaker's brother, that person is the speaker's nephew. For example, if th…
Yes. GPT doesn't really deal in meanings. Much like autocomplete, it doesn't know what the end of a sentence will be when it starts it. If it randomly chooses different words at the start of a sentence, it may pretend to have a different belief by the end. In reality it doesn't have beliefs any more than a library does. It implicitly contains beliefs (since it's been trained on them) and it can imitate them, but whic…
Re: How does GPT obtain its ability? Tracing emergent abilities of language models
#89Re: How does GPT obtain its ability? Tracing emergent abilities of language models
#90Amazing insight, particularly section 6. "- The two important but different abilities of GPT-3.5 are *knowledge* and *reasoning*. Generally, it would be ideal if we could *offload the knowledge part to the outside retrieval system and let the language model only focus on reasoning.* This is because: - The model’s internal knowledge is always cut off at a certain time. The model always needs up-to-date knowledge to an…