In what the New York Times' Hard Fork team describes as potentially the most significant development in artificial intelligence this year, an organized online movement mobilized against Hugging Face, the influential open-source AI platform. The episode features commentary from Ajeya Cotra of METR (Measurement and Evaluation of Reasoning Trust), a leading AI safety research organization, providing analysis of what the backlash reveals about growing tensions within the AI community over platform governance, safety practices, and the direction of AI development. The incident highlights escalating community organizing around AI platforms and raises questions about how the industry responds to grassroots pressure. The Hard Fork hosts frame this moment as emblematic of broader fault lines in the AI ecosystem, where different stakeholders—from safety researchers to developers to users—are increasingly willing to publicly challenge major players. Cotra's perspective offers a technical and ethical lens on what drove the mobilization and its potential consequences for future AI platform development and oversight.