The Download: controlling AI agents and “Super Intelligence” loyalty tests
The article discusses two developments in AI governance. First, a new approach called 'reverse game theory' aims to align AI agents with human rules by designing incentive structures that reward compliance—similar to cake-cutting scenarios where fairness is built into the process. Second, the Trump administration's executive order to rebrand AI as 'Super Intelligence' across government agencies is slowly appearing in official documents, but adoption remains uneven. The rebrand raises concerns about becoming a political loyalty test, where using the term signals alignment with the administration.
Key points
- Reverse game theory designs rule systems to incentivize AI agents to comply with human instructions.
- Trump administration pushes 'Super Intelligence' rebrand across government agencies.
- Tech sector adoption of rebrand is uneven; concerns about it becoming a political loyalty test.
Summary and key points written by AI from the headline and a short excerpt, so they can be incomplete or wrong. MIT Technology Review did the reporting; read the original for the full story.
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