  Over the past two years, EleutherAI has established itself as a radically
novel initiative aimed at both promoting open-source research and conducting
research in a transparent, openly accessible and collaborative manner.
EleutherAI's approach to research goes beyond transparency: by doing research
entirely in public, anyone in the world can observe and contribute at every
stage. Our work has been received positively and has resulted in several
high-impact projects in Natural Language Processing and other fields. In this
paper, we describe our experience doing public-facing machine learning
research, the benefits we believe this approach brings, and the pitfalls we
have encountered.
