Conclusion and Bibliography for "Understanding the diffusion of large language models"

Abstract

This sequence presents key findings from case studies on the diffusion of eight language models similar to GPT-3. The phenomenon of diffusion is argued to be broadly relevant to risks posed by transformative AI (TAI). The diffusion of AI technology affects when TAI will be developed, and which actors will lead AI development. It also affects how safe TAI systems are, how they are used, and the state of global politics and economics when they are used. While the research has limitations, including uncertainty in the data and generalizations from a small set of case studies, the authors argue that diffusion is a productive framing for studying competition, publication strategy, and other dynamics of AI development. They also recommend several topics for future work on AI diffusion. – AI-generated abstract