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The preprint "Towards Responsible Governance of Biological Design Tools" (arXiv v1, 27 November 2023) states that biological design tools pose distinct regulatory challenges and that regulatory proposals tailored to large language models may be less effective for them. Copy claim link
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Supporting evidence: primary · 1 source
Subject version arXiv v1 (27 November 2023) · Published 2023-11-27 · Effective date not established Date 2023-11-27 · publication Role Articulation Register (kind of text) Nonfiction Scope of the passage States the difference in terms of what regulation each class needs. Scope and limits The record documents what this workshop paper states; it is not evidence that the proposition is true and implies no influence between texts.
The evidence 02 primary source Supports the claim
Towards Responsible Governance of Biological Design Tools ↗ arXiv (preprint; workshop paper, Regulatable Machine Learning at NeurIPS 2023) · Publication date unknown
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Source excerpt “This paper outlines the distinct regulatory challenges posed by biological design tools (BDTs) and provides a range of governance measures to address the risks of their misuse.” Location in source Introduction, PDF p. 1
How it was read Retrieved directly from the publisher
Machine-checked · 2026-10-30
Source details and check notes Authors arXiv (preprint; workshop paper, Regulatable Machine Learning at NeurIPS 2023) Version Retrieved for the candidate pack on 2026-10-28 (SHA-256 9e0f06fab595a615ceac3470dd7690069f1460aac6715d2bf9fefaad8bd6054c). arXiv v1 of 27 November 2023 (per the PDF's arXiv stamp) Retrieved again at admission on 2026-10-30 (SHA-256 9e0f06fab595a615ceac3470dd7690069f1460aac6715d2bf9fefaad8bd6054c, the same bytes). Canonical address Open the canonical source ↗ Accessed 2026-10-28 Language English (en) Attribution arXiv (preprint; workshop paper, Regulatable Machine Learning at NeurIPS 2023), “Towards Responsible Governance of Biological Design Tools”. 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, AI and biosecurity (research/ai-bio). The quotation (27 words) matched the text retrieved for the candidate pack on 2026-10-28 and again at admission on 2026-10-30, in a fresh retrieval whose SHA-256 equals the pack’s. Matching ignored differences of whitespace, case, quotation marks, dashes and Unicode compatibility forms, so the source’s typography can differ. The paper is the primary source for its own framing. A cross-family machine check (2026-10-30, item 104) re-read the record’s sources and found full support. No human editorial review. primary source Supports the claim
Towards Responsible Governance of Biological Design Tools ↗ arXiv (preprint; workshop paper, Regulatable Machine Learning at NeurIPS 2023) · Publication date unknown
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Cite the original source Cite the original document, not Selekoa. Check these details against it.
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Source excerpt “We highlight how current regulatory proposals that are primarily tailored toward large language models may be less effective for BDTs, which require fewer computational resources to train” Location in source Abstract, PDF p. 1
How it was read Retrieved directly from the publisher
Machine-checked · 2026-10-30
Source details and check notes Authors arXiv (preprint; workshop paper, Regulatable Machine Learning at NeurIPS 2023) Version Retrieved for the candidate pack on 2026-10-28 (SHA-256 9e0f06fab595a615ceac3470dd7690069f1460aac6715d2bf9fefaad8bd6054c). arXiv v1 of 27 November 2023 (per the PDF's arXiv stamp) Retrieved again at admission on 2026-10-30 (SHA-256 9e0f06fab595a615ceac3470dd7690069f1460aac6715d2bf9fefaad8bd6054c, the same bytes). Canonical address Open the canonical source ↗ Accessed 2026-10-28 Language English (en) Attribution arXiv (preprint; workshop paper, Regulatable Machine Learning at NeurIPS 2023), “Towards Responsible Governance of Biological Design Tools”. 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, AI and biosecurity (research/ai-bio). The quotation (27 words) matched the text retrieved for the candidate pack on 2026-10-28 and again at admission on 2026-10-30, in a fresh retrieval whose SHA-256 equals the pack’s. Matching ignored differences of whitespace, case, quotation marks, dashes and Unicode compatibility forms, so the source’s typography can differ. The comparison with language-model regulation, in the paper's own words. A cross-family machine check (2026-10-30, item 104) re-read the record’s sources and found full support. 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. A passage of the document meets the proposition’s criterion. The record documents what the text states, in its register (fiction and satire are labelled); it is not evidence that the proposition is true and implies no influence on or from another text.
Date. Date of the arXiv v1 stamp on the PDF.
Record ID ab-arg-d4-moulange-articulates