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The preprint "Can large language models democratize access to dual-use biotechnology?" (arXiv v1, 6 June 2023) states that the agents it discusses would become widely accessible as soon as they are credibly identified, even to people with little or no laboratory training, against the premise that laboratory execution is the binding barrier. Copy claim link
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Machine-checked, not reviewed by an editor Stated in source Supported
Supporting evidence: primary · 2 sources
Subject version arXiv v1 (6 June 2023) · Published 2023-06-06 · Effective date not established Date 2023-06-06 · publication Role Contesting, Earliest located Register (kind of text) Nonfiction Scope of the passage The contesting point is one clause of a conclusion drawn from a one-hour classroom exercise. Engagement Engages a premise. The sentence addresses the premise about laboratory training directly rather than asserting only a contrary conclusion. Scope and limits The record documents what this preprint states about the role of laboratory training; it is not evidence that the proposition is false. The preprint's own methods note calls the work a qualitative classroom exercise. Earliest located contesting text among those searched in this pass; not a claim that no earlier one exists. Only the policy-level conclusion sentence is cited; the surrounding technical and acquisition content of the abstract was excluded and is not paraphrased.
The evidence 02 primary source Supports the claim
Can large language models democratize access to dual-use biotechnology? ↗ arXiv (preprint, Emily H. Soice, Rafael Rocha, Kimberlee Cordova, Michael Specter, Kevin M. Esvelt) · Publication date unknown
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Source excerpt “Collectively, these results suggest that LLMs will make pandemic-class agents widely accessible as soon as they are credibly identified, even to people with little or no laboratory training.” 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, Emily H. Soice, Rafael Rocha, Kimberlee Cordova, Michael Specter, Kevin M. Esvelt) Version Retrieved for the candidate pack on 2026-10-28 (SHA-256 78647f96bb8fed0e988de8807caa503cebd4b1148f47ad9d518b9cc401a2bbfe). arXiv v1 of 6 June 2023 (PDF at /pdf/2306.03809v1) Retrieved again at admission on 2026-10-30 (SHA-256 78647f96bb8fed0e988de8807caa503cebd4b1148f47ad9d518b9cc401a2bbfe, the same bytes). Canonical address Open the canonical source ↗ Accessed 2026-10-28 Language English (en) Attribution arXiv (preprint, Emily H. Soice, Rafael Rocha, Kimberlee Cordova, Michael Specter, Kevin M. Esvelt), “Can large language models democratize access to dual-use biotechnology?”. 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 (28 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. Recorded against the proposition as worded; the same passage also carries the preprint's articulation of B1. A cross-family machine check (2026-10-30, item 97) re-read the record’s sources and found full support. No human editorial review. primary source Supports the claim
arXiv abstract page for 2306.03809v1 (submission history) ↗ arXiv (Cornell University) · Publication date unknown
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Source excerpt “[v1] Tue, 6 Jun 2023” Location in source Submission history block, v1 entry
How it was read Retrieved directly from the publisher
Machine-checked · 2026-10-30
Source details and check notes Authors arXiv (Cornell University) Version Retrieved for the candidate pack on 2026-10-28 (SHA-256 28e8f611fd8130bd519b35594c214b1fbf23c4fee9d528708cd24e7cc2ddf691). Abstract page as served on 2026-10-28; used only for the v1 submission date Retrieved again at admission on 2026-10-30 (SHA-256 90fb4537c1ebbf342ac51f06924097f1bb97b9ae15271593cd85744c567f5cc0). Its wording can change; earlier wording is not authenticated. Canonical address Open the canonical source ↗ Accessed 2026-10-28 Language English (en) Attribution arXiv (Cornell University), “arXiv abstract page for 2306.03809v1 (submission history)”. 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 (5 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 (SHA-256 90fb4537c1ebbf342ac51f06924097f1bb97b9ae15271593cd85744c567f5cc0; the bytes differ from the pack’s retrieval). Matching ignored differences of whitespace, case, quotation marks, dashes and Unicode compatibility forms, so the source’s typography can differ. Added after the audit of 2026-10-28: the 6 June 2023 date rested on no cited passage. Cited for the submission date only; the retrieved PDF of v1 carries no arXiv stamp. A cross-family machine check (2026-10-30, item 97) 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 disputes the proposition or a premise it depends on. The record documents the text’s position, not who is right.
Date. Date of the arXiv v1 submission, the expression quoted.
Record ID ab-arg-d2-soice-contests