A few months ago, at the recent International Conference on Machine Learning, a workshop and research paper launched a movement to use machine-learning to either help mitigate global warming or help humans adapt to a warming world. This week I talk to David Rolnick, a postdoc at UPenn, and Priya Donti, a PhD student at Carnegie Mellon, who are engaged daily in maintaining its momentum. We talked about how the group came together and how climatechange.ai is developing and what you can do to get involved.