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A proposal for better informing the public about loss-of-control risks from frontier AI development
METR lays out the public evidence gaps on whether frontier AI developers could lose control of internal AI systems, covering alignment, control and monitoring, and acceleration from automated AI R&D, and proposes embedded independent assessments using internal data and staff access, with published findings, permitted redactions and stated limitations.
17 min · 3,872 words
The Politics of the “Non-Political”
Yibin Fan introduces a conceptual review, co-authored with Yufan Guo in Political Communication, of how researchers define the boundary between political and 'non-political' content as political information seeps into everyday life and media.
4 min · 959 words
What if automating AI R&D triggers an intelligence explosion?Frontier AI Working Paper Series No. 2/2026 from CASP and collaborators.
A CASP Frontier AI working paper asks what happens if automating AI R&D triggers an intelligence explosion, surveying mechanisms, uncertainties, and policy implications with coauthors across academia and frontier labs including Hinton, Bengio, Horvitz, Clark, and others.
43 min · 9,930 words
How Quickly Can the DOD Rebuild and Recast the Munitions Industrial Base?
Jerry McGinn and A.J. Dilts of CSIS use DOD budget documents and industry analysis to estimate realistic timelines for rebuilding and recasting the U.S. munitions industrial base for modern wars of precision and attrition.
15 min · 3,430 words