Lens · manifund-goals
importance-for-ai-safety-technical
importance of this evaluation criterion to a grantmaker whose aim is advancing technical AI safety research
| Rank | Entity | Judged text | Latent score | Percentile |
|---|---|---|---|---|
| 1 | theory-of-change-plausibility | Plausibility of the causal path from activities to claimed impact — whether the mechanism connecting what the team will do to the outcome they promise survives scrutiny step by…Plausibility of the causal path from activities to claimed impact — whether the mechanism connecting what the team will do to the outcome they promise survives scrutiny step by step. | 0.487 ± 0.347 | 87.5% |
| 2 | impact-per-marginal-dollar | Expected impact per marginal dollar at the stated ask — how much good the next dollar of funding actually buys, given the project size, cost structure, and counterfactual fundin…Expected impact per marginal dollar at the stated ask — how much good the next dollar of funding actually buys, given the project size, cost structure, and counterfactual funding landscape. | 0.021 ± 0.426 | 62.5% |
| 3 | team-track-record-evidence | Verifiable track-record evidence the team can execute — concrete, checkable prior work demonstrating the team has shipped comparable things before. | 0.018 ± 0.346 | 37.5% |
| 4 | epistemic-integrity | Epistemic integrity of the write-up — honest failure modes, quantified claims, falsifiable milestones; whether the proposal reasons transparently rather than selling. | 0.000 ± 0.426 | 12.5% |
Run metadata
1 run- Model
- anthropic/claude-haiku-4.5
- Comparisons
- 32
- Stop reason
- budget_exhausted
- Scored
- Aug 20, 2026, 3:38 AM