publication
Open-Sourcing Highly Capable Foundation Models
Metadata
| Source Table | publications |
| Source ID | Kb7tBAbKcN |
| Description | Elizabeth Seger, Noemi Dreksler, Richard Moulange, et al., 2023-09 |
| Source URL | www.governance.ai/research-paper/open-sourcing-highly-capable-foundation-models |
| Parent | GovAI |
| Children | — |
| Created | Mar 23, 2026, 1:00 PM |
| Updated | Mar 23, 2026, 1:00 PM |
| Synced | Mar 23, 2026, 1:00 PM |
Record Data
id | Kb7tBAbKcN |
entityId | GovAI(organization) |
entityDisplayName | — |
resourceId | — |
title | Open-Sourcing Highly Capable Foundation Models |
authors | Elizabeth Seger, Noemi Dreksler, Richard Moulange, et al. |
url | www.governance.ai/research-paper/open-sourcing-highly-capable-foundation-models |
venue | — |
publishedDate | 2023-09 |
publicationType | paper |
citationCount | — |
isFlagship | No |
abstract | — |
source | www.governance.ai/research-paper/open-sourcing-highly-capable-foundation-models |
notes | — |
Source Check Verdicts
confirmed95% confidence
Last checked: 3/26/2026
The source text directly confirms all key fields in the record. The title matches exactly. The authors listed in the record (Elizabeth Seger, Noemi Dreksler, Richard Moulange, et al.) are confirmed in the source, which provides additional author names (Emily Dardaman, Jonas Schuett, K. Wei). The publication date of September 29, 2023 matches the claimed 2023-09. The URL is explicitly provided in the source. The publication type is confirmed as a research paper. All verifiable claims in the record are supported by the source text.
Debug info
Thing ID: Kb7tBAbKcN
Source Table: publications
Source ID: Kb7tBAbKcN