A 2013 graduate student turned AI safety researcher chronicles the transition of existential risk from a fringe topic to a mainstream concern. The author argues that deep learning researchers ignored critical consequences during the field's rapid expansion. This personal retrospective highlights a persistent gap between technical progress and safety precautions for current practitioners.