Gate: AI and Automation Scenario Explorer

Overview The Growth and AI Transition Endogenous (GATE) model is an integrated assessment model of the impact of AI development on the economy. To accompany our paper describing the GATE model in detail, we have developed a playground that allows interested readers to modify parameter settings and observe the model’s behavior in a wide range of scenarios. In this documentation, we describe the following: A concise summary of how the GATE model is structured, implemented, and solved. How to use the GATE playground, and interpret its predictions. Explanations for playground’s default parameter settings. If you would like to ask any questions or provide feedback about the GATE playground, you may contact us at [email protected]. You can also read our accompanying blogpost for an overview of the key results suggested by the model. Model structure The core dynamic in GATE is an automation feedback loop: Investments drive increases in the computation used to train and deploy increasingl ... Read full article.