Rohit Krishnan maps "AGI institutions" experiments: 11 strong matches, zero at national scale
soumitrashukla9 · x · 2026-11-06
Rohit Krishnan (Strange Loop Can / Strange Lab) published Experiments in AGI Institutions, a matrix mapping existing AI-institution experiments: rows are scales (dyadic/group/community/national/global), columns are institutional dimensions (protocols, preferences, rights, incentives, expertise, norms, thick commitments), each cell marked strong or partial match.
The grid finds 11 strong matches and 6 partial matches, all at dyadic, group, and community levels—the national and global rows are entirely empty. Referenced work includes auctions and internal markets (MarketBench), the collective misalignment case Helios, auditor capture and independence, whistleblowing interventions, and the VEI management flight simulator prototype.
Krishnan stresses it's an experimental-coverage map, not a completion checklist: a strong match doesn't mean the full proposed institution has been built, and no national or global experiments are claimed.
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