We introduce a compute-centric model of AI automation and its economic effects, illustrating key dynamics of AI development. The model suggests large AI investments and subsequent economic growth.| Epoch AI
AI’s “train-once-deploy-many” advantage yields increasing returns: doubling compute more than doubles output by increasing models’ inference efficiency and enabling more deployed inference instances.| Epoch AI
We characterize techniques that induce a tradeoff between spending resources on training and inference, outlining their implications for AI governance.| Epoch AI