Claim and evidence Close ×
Kapoor, Bommasani and co-authors' position paper of 27 February 2024 states that open foundation models bring significant benefits, including a wider distribution of decision-making power, and proposes a framework for assessing their marginal risk relative to closed models and pre-existing technologies, which it says explains why that marginal risk is low in some cases. Copy claim link
Copy claim reference
Machine-checked, not reviewed by an editor Stated in source Supported
Supporting evidence: primary · 1 source; Context: 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 → Role Most developed Register (kind of text) Nonfiction Scope and limits The paper also finds that current research is insufficient to characterise the marginal risk for most misuse vectors and that the risk will change as capabilities and defences change; it does not state that open release adds little risk in general. Most developed is an editorial judgement among the located texts.
The evidence 03 primary source Supports the claim
On the Societal Impact of Open Foundation Models ↗ arXiv (preprint, Sayash Kapoor, Rishi Bommasani and others) · Publication date unknown
Copy source reference
Cite the original source Cite the original document, not Selekoa. Check these details against it.
Copy APA
Download BibTeX Download RIS Download CSL-JSON
Source excerpt “Open foundation models present significant benefits, with some caveats, that span innovation, competition, the distribution of decision-making power, and transparency.” 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 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 (20 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
On the Societal Impact of Open Foundation Models ↗ arXiv (preprint, Sayash Kapoor, Rishi Bommasani and others) · Publication date unknown
Copy source reference
Cite the original source Cite the original document, not Selekoa. Check these details against it.
Copy APA
Download BibTeX Download RIS Download CSL-JSON
Source excerpt “The framework helps explain why the marginal risk is low in some cases” 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 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 (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 Context only
On the Societal Impact of Open Foundation Models ↗ arXiv (preprint, Sayash Kapoor, Rishi Bommasani and others) · Publication date unknown
Copy source reference
Cite the original source Cite the original document, not Selekoa. Check these details against it.
Copy APA
Download BibTeX Download RIS Download CSL-JSON
Source excerpt “we find that current research is insufficient to effectively characterize the marginal risk of open foundation models relative to pre-existing technologies.” 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 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 (21 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-kapoor-2024-open-foundation-models