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FAR.AI — AI Interpretability Research

Child of Coefficient Giving

Metadata

Source Tablegrants
Source IDe_15Bn9tjZ
Descriptionto FAR AI, USD 100000, 2023-03
Source URLcoefficientgiving.org/funds/
ParentCoefficient Giving
Children
CreatedMar 12, 2026, 5:54 AM
UpdatedMar 23, 2026, 3:17 PM
SyncedMar 19, 2026, 8:57 PM

Record Data

ide_15Bn9tjZ
organizationIdCoefficient Giving(organization)
granteeIdFAR AI(organization)
orgEntityIdCoefficient Giving(organization)
orgDisplayName
granteeEntityIdFAR AI(organization)
granteeDisplayName
nameFAR.AI — AI Interpretability Research
amount100000
currencyUSD
period
date2023-03
status
sourcecoefficientgiving.org/funds/
notes[Navigating Transformative AI] Open Philanthropy recommended a grant of $100,000 to FAR.AI to support a research project, led by Open Philanthropy AI Fellow Alex Tamkin, aimed at developing a neural network architecture that could serve as a more interpretable alternative to the transformer architec
programIdEXpTP-ujq6
dataSourceId

Source Check Verdicts

confirmed95% confidence

Last checked: 4/29/2026

1 → confirmed

Debug info

Thing ID: e_15Bn9tjZ

Source Table: grants

Source ID: e_15Bn9tjZ

Parent Thing ID: sid_ULjDXpSLCI