Grant to "support research on how to fine-tune GPT-3 models to identify flaws in other fine-tuned language models' arguments for the correctness of their outputs, and to test whether these help nonexpert humans successfully judge such arguments."
grantFailed source checkChild of FTX Future Fund
Metadata
| Source Table | grants |
| Source ID | lXjp9ZyI0y |
| Description | to University of Cambridge, USD 380000, 2022-05 |
| Source URL | web.archive.org/web/20221101/https://ftxfuturefund.org/our-grants/ |
| Parent | FTX Future Fund |
| Children | — |
| Created | Mar 12, 2026, 4:51 PM |
| Updated | Mar 25, 2026, 3:13 AM |
| Synced | Mar 12, 2026, 4:51 PM |
Record Data
id | lXjp9ZyI0y |
organizationId | FTX Future Fund(organization) |
granteeId | University of Cambridge(organization) |
orgEntityId | FTX Future Fund(organization) |
orgDisplayName | — |
granteeEntityId | University of Cambridge(organization) |
granteeDisplayName | University of Cambridge |
name | Grant to "support research on how to fine-tune GPT-3 models to identify flaws in other fine-tuned language models' arguments for the correctness of their outputs, and to test whether these help nonexpert humans successfully judge such arguments." |
amount | 380000 |
currency | USD |
period | — |
date | 2022-05 |
status | — |
source | web.archive.org/web/20221101/https://ftxfuturefund.org/our-grants/ |
notes | [AI safety] Grant to "support research on how to fine-tune GPT-3 models to identify flaws in other fine-tuned language models' arguments for the correctness of their outputs, and to test whether these help nonexpert humans successfully judge such arguments." |
programId | rHlJJ8FpqP |
dataSourceId | — |
Source Check Verdicts
unverifiable100% confidence
Last checked: 4/29/2026
1 → unverifiable
Debug info
Thing ID: lXjp9ZyI0y
Source Table: grants
Source ID: lXjp9ZyI0y
Parent Thing ID: sid_JhIGCaI3Ng