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Project Tailwind: AI Safety Public Goods

Coefficient GivingRemote

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Global catastrophic risksAI safetyPolicyResearch

Why this is on the board

Setting up shared computing power, datasets and tested safety advice means working not on one piece of research but on the preconditions for many AI safety teams at once. Every bottleneck you remove, such as a missing dataset or a safety policy an AI lab doesn't have to invent for itself, gives all those teams time back for the actual work.

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About the role

Build public goods infrastructure and tools to strengthen the AI safety ecosystem across research, governance, and decision-making. - Provide on-demand consulting and codified best practices to frontier AI labs on safety policies, governance, and risk mitigation techniques. - Develop AI tools that improve decision-maker judgement on high-stakes choices through evidence synthesis, misconception correction, and transparent fact-checking. - Operate shared compute clusters, datasets, and AI coachi…

More about Coefficient GivingWhy this problemGlossary

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