suffering layer

Disease burden

suffering_disease

Global morbidity and premature mortality from disease, measured in DALYs. Dominated by non-communicable disease (cardiovascular, cancer, diabetes, chronic respiratory) at ~74% of global deaths, with communicable and neonatal burden still heavy in sub-Saharan Africa. Scores how much an intervention reduces this burden if it lands.

Interventions scored against this layer

Scale funding for interpretability and alignment research. 0.20
Accelerate alternative-protein development (precision fermentation, cultivated meat, plant-based) with AI-driven strain engineering, scaffolding optimization, and supply-chain cost-down, targeting displacement of factory-farm protein at scale. 0.30
Expand frontier-lab compute capacity (chips, datacenters, networking). 0.40
Deploy frontier AI (structure prediction, candidate screening, trial simulation) inside drug discovery and therapeutic development pipelines targeting neglected infectious disease, antimicrobial resistance, and LMIC-priority therapeutics. 0.85
Accelerate grid and generation buildout (permitting reform, interconnection, new generation). 0.30
Invest in AI workforce training and retraining programs. 0.20
Scale AI-assisted mental health triage, initial-line support, and care-navigation tooling targeted at the ~70% of global mental-health burden currently untreated, with integration into public health systems and evaluation against clinical outcomes. 0.20