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Grant to "support a project to study how large language models integrated with offline reinforcement learning pose a risk of machine deception and persuasion."

grantFailed source check

Metadata

Source Tablegrants
Source IDvj9kL4xUjw
Descriptionto University of California, Berkeley, USD 600000, 2022-06
Source URLweb.archive.org/web/20221101/https://ftxfuturefund.org/our-grants/
ParentFTX Future Fund
Children—
CreatedMar 12, 2026, 4:51 PM
UpdatedMar 25, 2026, 3:13 AM
SyncedMar 12, 2026, 4:51 PM

Record Data

idvj9kL4xUjw
organizationIdFTX Future Fund(organization)
granteeIdUniversity of California, Berkeley(organization)
orgEntityIdFTX Future Fund(organization)
orgDisplayName—
granteeEntityIdUniversity of California, Berkeley(organization)
granteeDisplayNameUniversity of California, Berkeley
nameGrant to "support a project to study how large language models integrated with offline reinforcement learning pose a risk of machine deception and persuasion."
amount600000
currencyUSD
period—
date2022-06
status—
sourceweb.archive.org/web/20221101/https://ftxfuturefund.org/our-grants/
notes[AI safety] Grant to "support a project to study how large language models integrated with offline reinforcement learning pose a risk of machine deception and persuasion."
programIdrHlJJ8FpqP
dataSourceId—

Source Check Verdicts

unverifiable100% confidence

Last checked: 4/29/2026

1 → unverifiable

Debug info

Thing ID: vj9kL4xUjw

Source Table: grants

Source ID: vj9kL4xUjw

Parent Thing ID: sid_JhIGCaI3Ng