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Meta's Llama 3.1 can recall 42 percent of the first Harry Potter book

understandingai.org

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Re: Meta's Llama 3.1 can recall 42 percent of the first Harry Potter book

#2
https://archive.is/OSQt6

If you've seen as many magnet links as I have, with your subconscious similarly primed with the foreknowledge of Meta having used torrents to download/leech (and possibly upload/seed) the dataset(s) to train their LLMs, you might scroll down to see the first picture in this article from the source paper, and find uncanny the resemblance of the chart depicted to a common visual representation of torrent block download status.

Can't unsee it. For comparison (note the circled part):

https://superuser.com/questions/366212/what-do-all-these-dow...

Previously, related:

Extracting memorized pieces of books from open-weight language models - https://news.ycombinator.com/item?id=44108926 - May 2025

Re: Meta's Llama 3.1 can recall 42 percent of the first Harry Potter book

#3

https://archive.is/OSQt6 If you've seen as many magnet links as I have, with your subconscious similarly primed with the foreknowledge of Meta having used torrents to download/leech (and possibly upload/seed) the dataset(s) to train their LLMs, you might scroll down to see the first picture in this article from the source paper, and find uncanny the resemblance of the chart depicted to a common visual representation…

[deleted]

Re: Meta's Llama 3.1 can recall 42 percent of the first Harry Potter book

#8
From a quick web search I can find that there are book review sites that allow users to enter and rate verbatim "quotes" from books. This one [1] contains ~2000 [2] portions of a sentence, a paragraph or several paragraphs of Harry Potter and the Sorcerer's Stone.

Could it be plausible that an LLM had ingested parts of the book via scrapping web pages like this and not the full copyrighted book and get results similar to those of the linked study?

[1] https://www.goodreads.com/work/quotes/4640799-harry-potter-a...

[2] ~30 portions x 68 pages

Re: Meta's Llama 3.1 can recall 42 percent of the first Harry Potter book

#9

Given the method and how the english language works, isn't that the expected outcome for any text that isnt highly technical? Guess the next word: Not all heros wear _____

As there is no reason to believe that Harry Potter is axiomatic to our culture in the way that other concepts are, it is strange to me that the LLMs are able to respond in this way, and not at all expected. Why do you think this outcome is expected? Are the LLMs somehow encoding the same content in such a way that they can be prompted to decode it? Does it matter legally how LLMs are doing what they do technically? This is pertinent to the court case that Meta is currently party to.

https://en.wikipedia.org/wiki/Artificial_intelligence_and_co...

> See for example OpenAI's comment in the year of GPT-2's release: OpenAI (2019). Comment Regarding Request for Comments on Intellectual Property Protection for Artificial Intelligence Innovation (PDF) (Report). United States Patent and Trademark Office. p. 9. PTO–C–2019–0038. “Well-constructed AI systems generally do not regenerate, in any nontrivial portion, unaltered data from any particular work in their training corpus”

https://copyrightalliance.org/kadrey-v-meta-hearing/

> During the hearing, Judge Chhabria said that he would not take into account AI licensing markets when considering market harm under the fourth factor, indicating that AI licensing is too “circular.” What he meant is that if AI training qualifies as fair use, then there is no need to license and therefore no harmful market effect.

I know this is arguing against the point that this copyright lobbyist is making, but I hope so much that this is the case. The “if you sample, you must license” precedent was bad, and it was an unfair taking from the commons by copyright holders, imo.

The paper this post is referencing is freely available:

https://arxiv.org/abs/2505.12546

Re: Meta's Llama 3.1 can recall 42 percent of the first Harry Potter book

#10

It will generate a correct next token 42% of the time when prompted with a 50 token quote. Not 42% of the book. It's a pretty big distinction.

This means that if we start with 50% of the book then there is 42% chance that we can recreate the remaining 50%.

What is the distinction between understanding and memorization? What is the chance that understanding results in memorization (may be in case of humans)?

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