LocalLLaMA
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Rules:
Rule 1 - No harassment or personal character attacks of community members. I.E no namecalling, no generalizing entire groups of people that make up our community, no baseless personal insults.
Rule 2 - No comparing artificial intelligence/machine learning models to cryptocurrency. I.E no comparing the usefulness of models to that of NFTs, no comparing the resource usage required to train a model is anything close to maintaining a blockchain/ mining for crypto, no implying its just a fad/bubble that will leave people with nothing of value when it burst.
Rule 3 - No comparing artificial intelligence/machine learning to simple text prediction algorithms. I.E statements such as "llms are basically just simple text predictions like what your phone keyboard autocorrect uses, and they're still using the same algorithms since <over 10 years ago>.
Rule 4 - No implying that models are devoid of purpose or potential for enriching peoples lives.
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That's a logical fallacy. Given A is B it does not follow that B is A.
edit: it would make sense if it was phrased as "A is equivalent to B". Saying "A is B" in a scientific context has a very specific meaning. Makes me wonder how trustworthy the paper itself is.
I'm not really sure I follow, it's just a simplification, the most appropriate phrasing I guess would be "given A belongs to B, does it know B 'owns' A" like the examples given with "A is the son of B, is B the parent of A"
Looks like the findings are specifically about out-of-context learning, i.e. fine-tuning on facts like "Tom Cruise's mother was Mary Lee Pfeiffer" is not enough to be able to answer a questions like "Who are the children of Mary Lee Pfeiffer?", without any prompt engineering/tuning.
However, if you have in the context something like "Who was Tom Cruise's mother?", then the LLM has no problem answering correctly "Who are the children of Mary Lee Pfeiffer?", listing all the children, including Tom Cruise.
Note that it would be confusing even to a human to ask "Who is the son of Mary Lee Pfeiffer?", which is what they test on, since the lady had more than one son. That was the point of my comment, it's just a misleading question.
But that's not the issue in general that the researchers have unearthed, as I assumed based on the "A is B" summary, so yeah, it's just a poor choice of wording.