AI tool adoption is outpacing our ability to thoughtfully decide how, when, and whether to use it. Researchers, maintainers, and contributors are reacting in real time both to the use of AI tools in open source development and to the flood of AI-assistance contributions that continue to strain human open source infrastructure. Peer-review programs like pyOpenSci and JOSS, along with maintainer teams across the ecosystem, are being forced to react by creating guardrails and protection systems on the fly. The result of this is a difficult combination of introduced technical debt caused by the unguided use of AI tools in software development, burnout across volunteer teams who are fielding rapid AI-assisted contributions, and polarization around whether AI tools have a productive place in open source community at all.