26 citations · 41 across the 6 of their papers we have counts for
4 papers · 1 filter
Prioritization of Risks from Artificial Intelligence: A Delphi Study of 272 International Experts
Alexander K. Saeri, Jess Graham, Michael Noetel +185
Artificial intelligence poses many risks, ranging from familiar present-day harms to unprecedented and potentially catastrophic ones. Effective risk management requires prioritizat…
Does Distributed Training Undermine Compute Governance?
Robi Rahman
Compute governance proposals often rely on the assumption that frontier AI training requires large, detectable computing clusters. However, recent advances in distributed training…
Trends in AI Supercomputers
Konstantin F. Pilz, James Sanders, Robi Rahman +1
Frontier AI development relies on powerful AI supercomputers, yet analysis of these systems is limited. We create a dataset of 500 AI supercomputers from 2019 to 2025 and analyze k…
The rising costs of training frontier AI models
Ben Cottier, Robi Rahman, Loredana Fattorini +3
The costs of training frontier AI models have grown dramatically in recent years, but there is limited public data on the magnitude and growth of these expenses. This paper develop…