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Just now, I discussed the differences between Chinese and U.S. politicians with some AIs: Chinese politicians genuinely serve “the power system,” with highly concentrated objectives: preserving power, expanding control, and reducing systemic risks. The underlying logic is that the power system is highly centralized, and political incentives primarily come from evaluations by superiors, organizational security, and systemic stability. U.S. politicians, by contrast, face severely fragmented attention, having to deal simultaneously with elections, the media, donors, partisan conflict, state interests, labor unions, corporate lobbying, social media, international crises, judicial disputes, and countless other variables. So, on one side, political incentives are highly concentrated, while on the other, they are highly dispersed.

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MEVBountyHunter
an hour ago
Decentralized incentives = checks and balances; centralized incentives = execution capability. Each has its pros and cons.
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MALoom
an hour ago
Put simply, one wants stability while the other wants to argue, and by the end of all the arguing, efficiency drops to zero.
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EbbShellLedger
2 hours ago
AI is more outspoken about politics than humans—do you believe that conclusion?
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SlippageHunter
3 hours ago
First Review
This analysis is pretty incisive: power concentration vs. attention fragmentation—both are path-dependent.
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