Resolution (fka Sequent) lands $160M grant from Coefficient Giving for AI alignment
A $160M grant aims to close the funding gap between nonprofit alignment and frontier AI labs.
Resolution (formerly Sequent) has secured a $160M grant from Coefficient Giving, structured as a $108M base plus $52M conditional on hiring success and compute needs. The grant is intended to put rigorous alignment research on nearly equal footing with for-profit frontier AI labs by funding a critical mass of world-class researchers and providing compute resources for both semiautomated reasoning and small-to-medium-scale empirical work. Resolution plans to use the base funds for hiring top researchers and engineers, as well as regranting to high-quality non-Resolution alignment projects and community infrastructure. The organization pays well above nonprofit and academic norms, though not matching frontier-lab equity, to attract top talent in a fast-moving field.
Coefficient Giving is currently Resolution's sole funder, and the organization aims to raise larger-scale funds from a mix of sources once it demonstrates progress. The grant reflects a broader trend: the AI safety funding ecosystem is scaling up significantly. The article notes the possibility of an enormous influx of philanthropic capital via the OpenAI Foundation and following the anticipated Anthropic IPO. Resolution argues that superintelligence may arrive within a few years, and they aim to make the race between rigor and danger fairer by building tight-feedback versions of semiautomated alignment theory. They are currently hiring across research scientist, research engineer, and operations roles to accelerate alignment progress.
- $160M grant from Coefficient Giving: $108M base + $52M conditional on hiring and compute
- Focus on semiautomated alignment theory and rigorous empirics with fast feedback loops
- Hiring researchers, engineers, and operators; pays above academic norms but below frontier lab equity
Why It Matters
This grant significantly levels the playing field for nonprofit AI alignment research against well-funded frontier labs.