organization
Technical AI safety research
| Coefficient Giving | $3,897,000 | 94% | 2 |
| Schmidt Sciences | $250,000 | 6% | 1 |
| Date ↓ | Funder | Via | Amount | Cause | Source | Purpose |
|---|---|---|---|---|---|---|
| Dec 2025 | Coefficient Giving | Harvard University | $748,000 | Evals | coefficient_giving | Study on Model Organisms of Reward-Hacking (Shi Feng and Kianté Brantley) |
| Dec 2025 | Coefficient Giving | George Washington University | $3,149,000 | Evals | coefficient_giving | Study on Model Organisms of Reward-Hacking (Shi Feng and Kianté Brantley) |
| 2025 | Schmidt Sciences | ~$250,000* | Technical AI safety research | schmidt_sciences | Project: Evaluating Preparedness via Model Organism Spectrum. Inference-time compute safety cohort; per-project amount undisclosed (RFP cap $500K). — Science of Trustworthy AI — Inference-Time Compute (2025 cohort) |
* Estimated from Schmidt Sciences' reporting of total given out in the funding round; grant-level amounts were not provided.