TL;DR
A PDF titled "Scientific production in the era of large language models" was posted on gwern.net on 2026-01-05. The full article text is not available from the provided source; only the title, a brief excerpt labeled "Comments," and the file link are accessible.
What happened
A document entitled "Scientific production in the era of large language models [pdf]" was published online and is available via a gwern.net link dated 2026-01-05. The source record includes only a short excerpt reading "Comments" and a note that the full article text is not available; readers are asked to rely on the title and that limited excerpt. The URL for the PDF is provided in the source metadata, but the posting does not include the body of the paper, an abstract, or visible conclusions. Because the underlying manuscript or its contents are not accessible from the provided page, no claims about the paper's arguments, methods, authorship, or findings can be corroborated here.
Why it matters
- The topic—how large language models interact with scientific production—touches on research practices, authorship norms and the use of AI tools in scholarship.
- Work examining this intersection could influence peer-review standards, citation practices, and reproducibility expectations if it is later made available.
- Public-facing posts or PDFs on subjects like this can shape policy conversations and institutional guidance around responsible AI use in research.
Key facts
- Title of the document: "Scientific production in the era of large language models [pdf]".
- Host: gwern.net (URL provided in source metadata).
- Timestamp in source metadata: 2026-01-05T21:33:29+00:00.
- Source excerpt contains the single word: "Comments."
- The source includes a PDF link (filename in URL: 2025-kusumegi.pdf).
- The full text of the article is not available from the provided source.
- No abstract, author list, institutional affiliation, or main findings are present in the source.
- The source itself instructs reliance on the title and excerpt only.
What to watch next
- Whether the full PDF or a complete manuscript is posted or linked from the gwern.net page (not confirmed in the source).
- Any author names, affiliations or a DOI associated with the paper when the full text appears (not confirmed in the source).
- Subsequent summaries, peer reviews, or follow-up coverage that document the paper's methods and conclusions (not confirmed in the source).
Quick glossary
- Large language model (LLM): A type of artificial intelligence trained on large text corpora to generate or analyze human-like language.
- Scientific production: The process and output of research activities, including papers, data, methods, and results communicated to the scholarly community.
- Preprint/PDF: A digital document format often used to share drafts or completed scholarly manuscripts prior to or alongside formal journal publication.
- Peer review: The evaluation of scholarly work by experts in the same field, typically used to assess quality and validity before formal publication.
Reader FAQ
Who authored the paper?
Not confirmed in the source.
What are the main findings or conclusions?
Not confirmed in the source.
Where can I access the document?
The source provides a PDF link hosted on gwern.net at https://gwern.net/doc/science/2025-kusumegi.pdf; however, the full article text is not available from the provided page.
When was this posting dated?
The source metadata shows 2026-01-05T21:33:29+00:00.
Comments
Sources
- Scientific production in the era of large language models [pdf]
- Scientific production in the era of large language models
Related posts
- Strange.website: Poetic, Uneasy Reflections on Websites, AI and Dark UX
- Nvidia aims to be the Android of generalist robotics platform
- Uber, Lucid and Nuro unveil production-ready robotaxi at CES 2026