suffering layer

Preventable mortality

suffering_mortality

Preventable mortality --- under-5 deaths, maternal deaths, deaths from conditions with known cost-effective interventions. ~4.9M children still die before age 5 annually despite halving since 2000. Distinct from suffering_disease (which captures morbidity and chronic burden); this layer tracks lives ended early.

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. 0.15
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. 0.70
Accelerate grid and generation buildout (permitting reform, interconnection, new generation). 0.30
Invest in AI workforce training and retraining programs. 0.10
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. 0.30