Does copyright actually belong to Scott Weisman if all the words are outputs of LLMs? Is there any relevant case law here? I'm very curious about whether LLM outputs are copyrightable by the LLM user (I'm guessing potentially it varies throughout the world).
Solely the direct output of an LLM? Not in the US, no, according to the copyright office. Can a human edited and corrected text in which a human adds authorship (corrections, style, diction, editing, composition etc) to LLM output? Yes. Though simply making singular mechanical edits/corrections wouldn’t meet that bar; this seems like more than that.
An original human-authored translation is a derivative work that can hold copyright, but it is the human-authored parts that give it protection.
No amount of human authored pipelines that are automated (no human input) would give it this status as that is not human authorship (the pipeline itself can be however). The prompts for the LLM can also be copyright (again…human authorship), however they would be difficult to enforce since the direct output can’t be copyrighted.
While it's really cool that this is possible now, this project seems to be a thin wrapper around running Claude. Presumably, someone who wanted to read one of these books could just run it through Claude themselves with comparable results.
Sharing some artifact of your own added value, or things you learned in the process, would be more interesting to me than the output.
Try it and you’ll find it’s about 30 hours work inside Claude to get coherent side by side markdown files starting from a pdf of e.g. a single 19th c German philosophical work. At that point you can begin to edit and query the translation. If the work is great it can be worth it.
The problems with AI translations are a separate topic. For theoretical works they will always be somewhat irrational without a fixed glossary - which, though it sounds simple, is already an immense domain specific (really author-specific) intellectual labor involving excruciating choices for the human orchestrator - and a store of more or less trusted existing pairs (original,translation) belonging to the domain.
Here is an amusing parallel project for you: take a pdf of a German work from 18th or 19th c, and a later English translation of the same work and generate parallel paragraph by paragraph markdown files so you can eg scrutinize the translation or zip them into eg 2 column html. The task is a chamber of horrors.
I think there's more to it than that. It's a combination of extracting the text from the PDFs, resolving persistently tricky issues (especially numbers), and flagging issues for human review at scale. You can view lessons from the author on the GitHub repo: https://github.com/sweisman/translation-pipeline
Great, then rather post that! Although that repo looks like 100% AI artifact, not human intervention. (What does "flagging issues for human review at scale" mean in this context?)
I was referring to this bullet under Lessons Learned: "Manuscript translation is feasible but rough. A 14th-century Sephardic manuscript hand is readable at ~70–80% accuracy. The output is a useful rough draft, not a polished translation. Plan for a longer discrepancy report and more editorial review." Some of the samples I looked at had question marks or original Hebrew text throughout, which I took to mean marked uncertainties.
This is not what I use to translate. It was the first version to create usable output, and intentionally implemented in a code-free manner (today I have an extensive body of code in addition to the Claude Code harness instructions). Read my origin story, linked to in another comment, for more background.
Why was the comment of the author of the translation-site that explains the methodology flagged / dead?
The mere fact that the translation was AI-assisted shouldn't be a reason to flag a comment. AI translations, especially supervised translations, can actually achieve a reasonable level of quality.
Disagreement on AI philosophy shouldn't be a reason to flag a contribution.
> Would critics rather have NO translations of these pivotal works?
I actually asked a Classicist. I don't think he'll mind me quoting him:
"There's a lot of this shite popping up at the moment. [...] There seems to be some idea that publishing a shit translation of an untranslated work is better than no translation, but that's obviously wrong."
Professional translators don't throw around the word "impressive" like that.
You don't, yet I still stand by my work.
I translated some books up to four times as I refined the process. The default behavior is repeatedly to not attempt to translate text it can't resolve for whatever reason. AIs do have a tendency to hallucinate, and I expended a lot of effort on minimizing this problem to the point it can be considered mitigated.
Professional publishers collect blurbs which are attached to real names of real people, and bona fide reviewers write in full sentences with context, without
Nice project, but I think the PDF format could be improved. I'd prefer having landscape layout and original text and translated text side-by-side or keep the portrait layout and do a line-by-line translation so that it is easier to review and spot translation errors.
I built Ars Astronomica to make historically important works on astronomy, calendrics, and related sciences accessible in modern English. The project combines OCR, AI-assisted translation, editorial review, and publication into a workflow that can handle book-length works while preserving diagrams, mathematical notation, and references.
The site currently includes English translations of rare Hebrew and Latin works, including texts that have never previously appeared in English and others that survive only in manuscript form. All editions are released under a Creative Commons license.
I'm interested in feedback from historians of science, classicists, medievalists, digital-humanities researchers, and anyone interested in AI-assisted scholarly publishing.
I don't belong to any of those categories of people but I'm glad that you took the effort to build this site. I didn't know about those texts and I will at least skim through a few of them now. Thanks.
"All translations in this collection are © Scott Weisman. All rights reserved, except as granted by the license below."
Does copyright actually belong to Scott Weisman if all the words are outputs of LLMs? Is there any relevant case law here? I'm very curious about whether LLM outputs are copyrightable by the LLM user (I'm guessing potentially it varies throughout the world).
Solely the direct output of an LLM? Not in the US, no, according to the copyright office. Can a human edited and corrected text in which a human adds authorship (corrections, style, diction, editing, composition etc) to LLM output? Yes. Though simply making singular mechanical edits/corrections wouldn’t meet that bar; this seems like more than that.
An original human-authored translation is a derivative work that can hold copyright, but it is the human-authored parts that give it protection.
No amount of human authored pipelines that are automated (no human input) would give it this status as that is not human authorship (the pipeline itself can be however). The prompts for the LLM can also be copyright (again…human authorship), however they would be difficult to enforce since the direct output can’t be copyrighted.
Yes. The rules vary worldwide. Do your own research. I did, before asserting copyright.
While it's really cool that this is possible now, this project seems to be a thin wrapper around running Claude. Presumably, someone who wanted to read one of these books could just run it through Claude themselves with comparable results.
Sharing some artifact of your own added value, or things you learned in the process, would be more interesting to me than the output.
Try it and you’ll find it’s about 30 hours work inside Claude to get coherent side by side markdown files starting from a pdf of e.g. a single 19th c German philosophical work. At that point you can begin to edit and query the translation. If the work is great it can be worth it.
The problems with AI translations are a separate topic. For theoretical works they will always be somewhat irrational without a fixed glossary - which, though it sounds simple, is already an immense domain specific (really author-specific) intellectual labor involving excruciating choices for the human orchestrator - and a store of more or less trusted existing pairs (original,translation) belonging to the domain.
Here is an amusing parallel project for you: take a pdf of a German work from 18th or 19th c, and a later English translation of the same work and generate parallel paragraph by paragraph markdown files so you can eg scrutinize the translation or zip them into eg 2 column html. The task is a chamber of horrors.
I can assure you this is not a thin wrapper. Even the public repo of the first workable version of it is not a thin wrapper.
You are welcome to try. It is not rocket science, but what I developed would take much effort to reproduce.
I wrote an origin story about how I got started: https://aicentral.substack.com/p/pipeline-to-the-past
It describes some of the added value and lessons learned.
I think there's more to it than that. It's a combination of extracting the text from the PDFs, resolving persistently tricky issues (especially numbers), and flagging issues for human review at scale. You can view lessons from the author on the GitHub repo: https://github.com/sweisman/translation-pipeline
Great, then rather post that! Although that repo looks like 100% AI artifact, not human intervention. (What does "flagging issues for human review at scale" mean in this context?)
I was referring to this bullet under Lessons Learned: "Manuscript translation is feasible but rough. A 14th-century Sephardic manuscript hand is readable at ~70–80% accuracy. The output is a useful rough draft, not a polished translation. Plan for a longer discrepancy report and more editorial review." Some of the samples I looked at had question marks or original Hebrew text throughout, which I took to mean marked uncertainties.
Manuscripts are doable but tougher than printed works. Hebrew likewise is tougher than Latin.
This is not what I use to translate. It was the first version to create usable output, and intentionally implemented in a code-free manner (today I have an extensive body of code in addition to the Claude Code harness instructions). Read my origin story, linked to in another comment, for more background.
Reiterating what I wrote above, sharing these would have been more interesting imo than sharing the pipeline output.
Why was the comment of the author of the translation-site that explains the methodology flagged / dead?
The mere fact that the translation was AI-assisted shouldn't be a reason to flag a comment. AI translations, especially supervised translations, can actually achieve a reasonable level of quality.
Disagreement on AI philosophy shouldn't be a reason to flag a contribution.
"Disagreement on AI philosophy shouldn't be a reason to flag a contribution."
Amen!
A professional book editor and Hebrew translator said the translation of the one work he checked out was "impressive".
Others have responded equally positively to the Latin translations.
AI as a panacea is overwrought, but there are genuine positive uses of it. Would critics rather have NO translations of these pivotal works?
> Would critics rather have NO translations of these pivotal works?
I actually asked a Classicist. I don't think he'll mind me quoting him:
"There's a lot of this shite popping up at the moment. [...] There seems to be some idea that publishing a shit translation of an untranslated work is better than no translation, but that's obviously wrong."
Yes, because if a human didn’t do it, how will we know of the translation is free of mistakes? /s
Professional translators don't throw around the word "impressive" like that.
You don't, yet I still stand by my work.
I translated some books up to four times as I refined the process. The default behavior is repeatedly to not attempt to translate text it can't resolve for whatever reason. AIs do have a tendency to hallucinate, and I expended a lot of effort on minimizing this problem to the point it can be considered mitigated.
Professional publishers collect blurbs which are attached to real names of real people, and bona fide reviewers write in full sentences with context, without
It's good enough for me. I'm not publicizing his name without permission. He is quite well-known and until I moved recently, was a neighbor of mine.
Nice project, but I think the PDF format could be improved. I'd prefer having landscape layout and original text and translated text side-by-side or keep the portrait layout and do a line-by-line translation so that it is easier to review and spot translation errors.
Thank you.
Your suggestion makes sense, and you are not the first to offer it.
Maybe someday, although probably not CC licensed.
I built Ars Astronomica to make historically important works on astronomy, calendrics, and related sciences accessible in modern English. The project combines OCR, AI-assisted translation, editorial review, and publication into a workflow that can handle book-length works while preserving diagrams, mathematical notation, and references.
The site currently includes English translations of rare Hebrew and Latin works, including texts that have never previously appeared in English and others that survive only in manuscript form. All editions are released under a Creative Commons license.
I'm interested in feedback from historians of science, classicists, medievalists, digital-humanities researchers, and anyone interested in AI-assisted scholarly publishing.
I don't belong to any of those categories of people but I'm glad that you took the effort to build this site. I didn't know about those texts and I will at least skim through a few of them now. Thanks.
This is a valuable initiative. It would be great to include more historical context alongside each translated work.