Machine Learning Pioneer Daphne Koller Warns: AI Drug Discovery Is Not a Magic Wand, Needs 1000x More Data

Machine learning pioneer Daphne Koller published an essay on a16z News arguing that the bottleneck in AI-driven drug discovery is not molecular design but upstream understanding of disease mechanisms. She estimates that current data falls about 1000x short of what is needed to build comprehensive biological causal models, and warns that the industry is making more drugs around fewer targets.