Trump EO Forces 'Super Intelligence' Rebrand With Reverse Game Theory Proposed for Agent Control

The executive order issued in late September directs all agencies to substitute the term 'Super Intelligence' for AI in official documents and websites. One month later, compliance remains partial, with major technology firms continuing to use established terminology. Researchers simultaneously published work on reverse game theory, which designs payoff structures to elicit rule-following behavior from agents rather than predicting outcomes from fixed rules.

Adoption metrics show roughly 35 percent of sampled federal sites updated terminology by early November, per archived snapshots. Reverse game theory draws on mechanism design principles previously tested in resource allocation simulations, where the cutter-chooses-last protocol produced equal divisions in over 90 percent of trials. No large-scale agent deployments yet validate the approach against deceptive or goal-misgeneralizing models.

The rebrand functions as a de facto loyalty signal, exposing agencies and contractors to political targeting for non-compliance. This politicization intersects with alignment research by diverting focus from verifiable benchmarks toward terminology enforcement. Operational risk rises when safety documentation must conform to mandated phrasing rather than technical accuracy.

Next steps include agency-level audits scheduled for December and planned small-scale reverse game theory pilots in procurement systems by Q2 2027. Sustained divergence in terminology use across administrations could fragment shared evaluation standards for agent behavior.