ai-for-less-suffering

Public thinking on AI deployment toward −suffering. A typed reasoning tool that separates descriptive convergence from normative divergence, and finds coalition bridges (interventions) that do not require conceding the divergence.

node types

hover a pill to isolate that kind in the graph below. hover a graph node to match it back.

nodes

P

🏕️ Camp (15) --- Coherent cluster of held claims.

CD

✅ Descriptive claim (279) --- What is.

CN

💭 Normative claim (20) --- What should be.

S

📰 Source (103) --- A citable primary document.

E

📁 Evidence (323) --- A source's stance on a claim --- support, contradict, or qualify.

I

⚖️ Intervention (7) --- A proposed action.

scoring layers

LF

🔥 Friction layer (5) --- What slows deployment.

LH

💀 Harm layer (6) --- A welfare harm to weigh.

LS

💔 Suffering layer (5) --- A category of first-person suffering the intervention relieves.

coalition relations

BR

🌉 Bridge (13) --- A normative translation from one camp into another.

CV

🤝 Convergence (2) --- Camps arriving at the same intervention for different reasons.

BS

🕳️ Blindspot (5) --- A camp the operator is under-weighting.

the graph

worked example

What the site does, shown against a real claim currently in the graph. The same descriptive statement carries evidence that supports, contradicts, and qualifies it --- so the disagreement is visible as evidence, not as vibes. Click any source or claim to traverse.