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arXiv · 2210.06413

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

Jason Phang·Herbie Bradley·Leo Gao·Louis Castricato·Stella Biderman
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Abstract

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.

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Jason Phang, Herbie Bradley, Leo Gao, Louis Castricato, Stella Biderman. 2022-10-12. EleutherAI: Going Beyond "Open Science" to "Science in the Open". https://arxiv.org/abs/2210.06413

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