CSET’s Helen Toner shared her expert insights in an article published by WIRED. The article explores the development of a new large language model, Collective-1, built using a distributed training approach that leverages globally dispersed GPUs and incorporates both public and private data sources. Created by startups Flower AI and Vana, the model represents a shift away from traditional centralized data center training.
It will probably continue to struggle to keep up with the frontier but could be an interesting fast-follower approach.Helen Toner, Director of Strategy and Foundational Research Grants
Helen Toner emphasized the potential impact of Flower AI’s approach, calling it “interesting and potentially very relevant” to AI competition and governance, and noting, “It will probably continue to struggle to keep up with the frontier but could be an interesting fast-follower approach.”
To read the full article, visit WIRED.