2 papers
cs.CY2023
An Alternative to Regulation: The Case for Public AI
Nicholas Vincent, David Bau, Sarah Schwettmann +1
Can governments build AI? In this paper, we describe an ongoing effort to develop ``public AI'' -- publicly accessible AI models funded, provisioned, and governed by governments or…
cs.CL2021
How Do Neural Sequence Models Generalize? Local and Global Context Cues for Out-of-Distribution Prediction
Anthony Bau, Jacob Andreas
After a neural sequence model encounters an unexpected token, can its behavior be predicted? We show that RNN and transformer language models exhibit structured, consistent general…