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Eiras and co-authors' paper of 14 May 2024 argues that, overall, the benefits of open-source generative AI outweigh its risks, and that open source reduces the likelihood of existential risk by contributing to technical alignment and maintaining the balance of power. Copy claim link
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Machine-checked, not reviewed by an editor Stated in source Supported
Supporting evidence: primary · 1 source
Date 2024-05-14 · publication Records dated 2024 → Role Articulation Register (kind of text) Nonfiction Scope and limits The existential-risk argument is stated for a long-term stage and partly conditioned on technical alignment being achieved; the paper also lists net-negative features of open models, such as that they cannot be rolled back.
The evidence 02 primary source Supports the claim
Risks and Opportunities of Open-Source Generative AI ↗ arXiv:2405.08597 · 2024-05-14
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Source excerpt “We argue that, overall, the benefits of open-source Gen AI outweigh its risks.” Location in source Abstract, PDF p. 1
How it was read Retrieved directly from the publisher
Machine-checked · 2026-10-31
Source details and check notes Authors Francisco Eiras; Aleksandar Petrov; Bertie Vidgen; and others Version Retrieved for the candidate pack on 2026-10-29 (SHA-256 c2fd8d1cea152e392b8beef2629a7a3be398064c246183c0876cdf0662953f21). arXiv v1 PDF. Canonical address Open the canonical source ↗ Accessed 2026-10-29 Language English (en) Attribution Francisco Eiras, Aleksandar Petrov, Bertie Vidgen, and others, “Risks and Opportunities of Open-Source Generative AI”, 2024-05-14. 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 (13 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. primary source Supports the claim
Risks and Opportunities of Open-Source Generative AI ↗ arXiv:2405.08597 · 2024-05-14
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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 “open source (i) reduces the likelihood of existential risk by contributing to the development of technical alignment and maintaining the balance of power” Location in source Section 1, PDF p. 3
How it was read Retrieved directly from the publisher
Machine-checked · 2026-10-31
Source details and check notes Authors Francisco Eiras; Aleksandar Petrov; Bertie Vidgen; and others Version Retrieved for the candidate pack on 2026-10-29 (SHA-256 c2fd8d1cea152e392b8beef2629a7a3be398064c246183c0876cdf0662953f21). arXiv v1 PDF. Canonical address Open the canonical source ↗ Accessed 2026-10-29 Language English (en) Attribution Francisco Eiras, Aleksandar Petrov, Bertie Vidgen, and others, “Risks and Opportunities of Open-Source Generative AI”, 2024-05-14. 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 (23 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. 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 submission.
Record ID rd-r15-eiras-2024-open-source-genai