Claim · 2024-02-27 · publication · Stated in source · Supported

Kapoor, Bommasani and co-authors' paper of February 2024 cites Gopal and co-authors' paper as finding that open language models can generate accurate information about pandemic pathogens, and states that such information is publicly available without open language models.

One recorded claim. The claim panel gives its qualification, the source passages with their place in each source, and how it was checked.

What it connects

On the Societal Impact of Open Foundation Models → cites → Will releasing the weights of large language models grant widespread access to pandemic agents?

Where it appears

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Claim and evidence

On the Societal Impact of Open Foundation Modelscites ↓Will releasing the weights of large language models grant widespread access to pandemic agents?

Machine-checked, not reviewed by an editorStated in sourceSupported

Supporting evidence: primary · 1 source

Subject version: arXiv v1 (27 February 2024) · Published 2024-02-27 · Effective date not established
Date: 2024-02-27 · publication Records dated 2024 →

Scope and limitsA reply is not agreement; the record says only that the text answers the other.

The evidence 01

primary sourceSupports the claim

On the Societal Impact of Open Foundation Models

arXiv (preprint, Sayash Kapoor, Rishi Bommasani and others) · Publication date unknown

Cite the original source

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Source excerpt

“open language models can generate accurate information about pandemic-causing pathogens (Gopal et al., 2023), yet such information is publicly available on the Internet, even without the use of open language models (Guha et al., 2023).”

Location in source Section 5.1, PDF p. 5

How it was read Retrieved directly from the publisher

Machine-checked · 2026-10-31

Source details and check notes

Authors: arXiv (preprint, Sayash Kapoor, Rishi Bommasani and others)
Version: Retrieved for the candidate pack on 2026-10-28 (SHA-256 ccceebc6fc502b4bf5810a61e082f2b4a64977c1d32adc7a467f2b6f1f4fa94c). arXiv v1 of 27 February 2024 (per the PDF's arXiv stamp and its own dateline) Retrieved again at admission on 2026-10-30 (SHA-256 ccceebc6fc502b4bf5810a61e082f2b4a64977c1d32adc7a467f2b6f1f4fa94c, the same bytes).
Canonical address: Open the canonical source ↗
Accessed: 2026-10-28
Language: English (en)
Attribution: arXiv (preprint, Sayash Kapoor, Rishi Bommasani and others), “On the Societal Impact of Open Foundation Models”.
Reuse: No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution.
Check notes: Candidate pack passage, arguments about catastrophic risk from advanced AI (research/risk-debate). The quotation (35 words) matched the text retrieved for the candidate pack on 2026-10-29. Matching ignored differences of whitespace, case, quotation marks, dashes and Unicode compatibility forms, so the source’s typography can differ. No human editorial review.

Status and meaning

Editorial status. Not reviewed by an editor. An exploratory record that no editor has accepted. This status does not say whether a person has read any linked passage. Each evidence record above shows how it was checked.

Relation. An explicit reference to a work. Citation alone is neither agreement nor causal influence.

Date. Date of the arXiv v1 submission.

Record ID rd-reply-kapoor-2024-open-foundation-models-to-gopal-2023-pandemic-agents