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Over the past two years, EleutherAI has established itself as a radicallynovel initiative aimed at both promoting open-source research and conductingresearch in a transparent, openly accessible and collaborative manner.EleutherAI's approach to research goes beyond transparency: by doing researchentirely in public, anyone in the world can observe and contribute at everystage. Our work has been received positively and has resulted in severalhigh-impact projects in Natural Language Processing and other fields. In thispaper, we describe our experience doing public-facing machine learningresearch, the benefits we believe this approach brings, and the pitfalls wehave encountered.

EleutherAI: Going Beyond "Open Science" to "Science in the Open"