This article argues that the culture and institutions of science are a central pillar for developing and institutionalizing public AI infrastructures. By fostering an environment where AI technology is permanently accessible and accountable, science organizations navigate the complexities of integrating this technology into specific social contexts, thus serving as a blueprint for other institutions and organizations to pursue trustworthy and responsibly-made technology solutions for problems that matter most, not for profit and power only.