AIBearisharXiv – CS AI · 14h ago7/10
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Does Distributed Training Undermine Compute Governance?
A research paper examines how distributed training algorithms could enable frontier AI model development outside traditional large datacenters, potentially circumventing compute governance regulations designed to monitor AI development. The authors propose countermeasures including chip tracking, whistleblowing programs, and forensic accounting to prevent regulatory evasion.