organization
Technical AI safety research
| Coefficient Giving | $5,000,000 | 100% | 1 |
| Michael Odokara-Okigbo | $1,000,000 | 95% | 1 |
| Center for Security and Emerging Technology | $55,000 | 5% | 1 |
| Date ↓ | Funder | Via | Amount | Cause | Source | Purpose |
|---|---|---|---|---|---|---|
| Apr 2023 | Coefficient Giving | $5,000,000 | Technical AI safety research | coefficient_giving | Safe Learning-Enabled Systems |
| Date ↓ | Recipient | Via | Amount | Cause | Source | Purpose |
|---|---|---|---|---|---|---|
| Sep 4, 2025 | Will Pfalzgraff | — | Other | grantmaking_ai | Using generalized master equations and statistical physics in a chemistry context. Currently supports my regular (non alignment related) academic research into Mori-Zwanzig theory for chemistry. | |
| Sep 2024 | Michael Odokara-Okigbo | $1,000,000 | Other | grantmaking_ai | The NSF funding was intended to support the research and development of NKENNEAi’s African-language AI technology, including text-to-text translation, speech-to-text, and text-to-speech systems for languages such as Yoruba, Swahili, and Nigerian Pidgin. It also supported data collection and validation, model training, API development, security, testing, and the technical work needed to move the technology from research into commercial use. | |
| 2024 | Center for Security and Emerging Technology | ~$55,000* | Domestic policy | org_reported | Listed in CSET’s 2024 annual report donor tiers. |
* The source reports this donation in the $15,000–$199,999 tier; recorded at the geometric mean.