Import AI 451: Political superintelligence; Google's society of minds, and a robot drummer
Research on AI agents governing other AI agents and 'political superintelligence' surfaces governance design questions directly relevant to APS AI oversight frameworks.
Key points
- Import AI 451 covers five distinct AI research items: political superintelligence, robot drumming, Google's multi-agent society, hyperagents, and a new maths benchmark.
- The Google 'society of minds' piece argues governments will need AI systems with embedded values to check private-sector AI deployments.
- The hyperagent self-improvement research surfaces autonomous AI capability gains with acknowledged safety risks - worth tracking for governance implications.
Implications for Australian agencies
- Monitor APS AI governance teams may want to monitor the Google 'society of minds' paper, which directly addresses the institutional design needed to oversee networks of AI agents - a challenge emerging in Australian government AI deployments.
- Monitor The hyperagent self-improvement research is worth watching for safety and procurement implications as autonomous AI capability gains become more accessible.
Implications are AI-generated. Starting points, not advice — see methodology for how they're framed.
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Weekly digest, 30 March 2026
"Import AI 451: Political superintelligence; Google's society of minds, and a robot drummer"
Source: Import AI – Substack (Jack Clark)
Published: 30 March 2026
URL: https://importai.substack.com/p/import-ai-451-political-superintelligence
Jack Clark's Import AI newsletter issue 451 covers five AI research items. The lead piece summarises a Stanford political economy professor's argument that AI could function as 'political superintelligence' across information, representation, and governance layers - but only with deliberate institutional design. A Google DeepMind paper argues that AI alignment will increasingly be a societal and institutional challenge, not merely a single-model problem, and that governments will need AI systems with explicitly embedded values to check private-sector deployments. Other items cover a self-improving 'hyperagent' framework from Meta and collaborators, a new unsolved-maths benchmark (HorizonMath), and a robot drumming paper illustrating the limits of dexterous robotics.
Implications for Australian agencies:
- [Monitor] APS AI governance teams may want to monitor the Google 'society of minds' paper, which directly addresses the institutional design needed to oversee networks of AI agents - a challenge emerging in Australian government AI deployments.
- [Monitor] The hyperagent self-improvement research is worth watching for safety and procurement implications as autonomous AI capability gains become more accessible.
Retrieved from SIMS, 18 July 2026.