HIGH confidence
Researched 2026-08-04 20:41 · profile: researcher
Programme Thesis
Open Philanthropy's grant program funds high-impact work in long-termist focus areas—biosecurity, AI risk, and building the long-termist EA community—specifically to support grantees disrupted by the FTX Future Fund collapse. It exists to provide continuity and stability for promising projects that would otherwise lose funding, while maintaining a high cost-effectiveness bar.
Selection Criteria
- Alignment with long-termist focus areas: biosecurity, AI risk, and building the long-termist EA community.
- Cost-effectiveness: Will the work positively influence the long-term future in a way that justifies the funding?
- Urgency: Time-sensitive applications are prioritized.
- Stability and continuity: Consideration for grantees whose work was disrupted by FTXFF collapse.
- Eligibility: Must be a grantee affected by FTXFF collapse (never received funds, received but want to return, or otherwise affected).
Past Winners / Cohort Profiles
No specific past winners are listed on the page. The program is a special application round for FTXFF-affected grantees, so the cohort would consist of researchers and organizations in biosecurity, AI safety, and EA community building who had prior FTXFF commitments.
Ideal Candidate Fingerprint
The ideal applicant is a researcher or organization with a proven track record in a long-termist focus area (biosecurity, AI risk, or EA community building), whose work was directly disrupted by the FTXFF collapse, and who can demonstrate that continued funding would be a cost-effective way to positively influence the long-term future. They would have a clear, urgent need for funding and a strong plan for impact.
Recommended Framing
For Eniola, the strongest angle is to frame the CCT model as a contribution to AI safety and biosecurity-adjacent risk reduction: addiction neuroscience informs AI alignment (reward hacking, corrigibility) and the model's computational methods (Bayesian calibration, dynamical systems) are directly transferable to AI safety research. However, the program's eligibility is strictly for FTXFF-affected grantees, which Eniola does not appear to be, so this is a poor fit. Instead, if applying, emphasize the long-termist impact of preventing addiction (a global health and existential risk factor) and the AI-safety relevance of the CCT model's reward-memory framework, but note the eligibility mismatch.
Watch Out
Eligibility: The program is explicitly for grantees affected by the FTX Future Fund collapse. Eniola is not an FTXFF grantee, so he is likely ineligible. Even if he applied, the program's focus is on biosecurity, AI risk, and EA community building, not directly on addiction neuroscience or drug-resistance prediction. The high cost-effectiveness bar and competitive nature further disadvantage an independent researcher without prior FTXFF funding.